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May 21, 2026

Masterclass IA De Zero a Heros de l IA FRENCH

15.33 GB | 45min 51s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 Introduction à la Masterclass en ingénierie de l’IA De zéro à héros de l’IA.mp4 (30.76 MB)
3 Introduction à la semaine 1 – Bases de Python.mp4 (2.57 MB)
4 Jour 1 Introduction à Python et setup.mp4 (135.59 MB)
5 Jour 2 Contrôle du flux dans Python.mp4 (224.16 MB)
6 Jour 3 Fonctions et modules.mp4 (149.5 MB)
7 Jour 4 Structures de données (Listes, Tuples, Dictionnaires, Ensembles).mp4 (219.23 MB)
8 Jour 5 Manipulation des chaînes de caractères.mp4 (163.1 MB)
9 Jour 6 Gestion des fichiers.mp4 (160.43 MB)
10 Jour 7 Code Pythonique et travail sur projet.mp4 (362.26 MB)
11 Introduction à la semaine 2 – Science des données.mp4 (3.13 MB)
12 Jour 1 Introduction à NumPy pour les calculs numériques.mp4 (170.44 MB)
13 Jour 2 Opérations avancées avec NumPy.mp4 (159.2 MB)
14 Jour 3 Introduction à Pandas pour la manipulation de données.mp4 (163.17 MB)
15 Jour 4 Nettoyage et préparation des données avec Pandas.mp4 (168.53 MB)
16 Jour 5 Agrégation et regroupement des données avec Pandas.mp4 (109.11 MB)
17 Jour 6 Visualisation des données avec Matplotlib et Seaborn.mp4 (231.56 MB)
18 Jour 7 Projet d’analyse exploratoire des données (EDA).mp4 (179.16 MB)
19 Introduction à la semaine 3 – Mathématiques pour le ML.mp4 (3.39 MB)
20 Jour 1 Fondamentaux de l’algèbre linéaire.mp4 (151.86 MB)
21 Jour 2 Concepts avancés en algèbre linéaire.mp4 (143.7 MB)
22 Jour 3 Calcul différentiel pour le ML.mp4 (129.97 MB)
23 Jour 4 Calcul intégral et optimisation.mp4 (108.96 MB)
24 Jour 5 Théorie des probabilités et distributions.mp4 (185.87 MB)
25 Jour 6 Fondamentaux en statistiques.mp4 (144.23 MB)
26 Jour 7 Mini projet mathématique – Régression linéaire depuis zéro.mp4 (126.98 MB)
27 Introduction à la semaine 4 – Probabilités et statistiques.mp4 (3.56 MB)
28 Jour 1 Variables aléatoires et théorie des probabilités.mp4 (131.36 MB)
29 Jour 2 Distributions de probabilité dans le ML.mp4 (123.28 MB)
30 Jour 3 Inférence statistique – Estimation et intervalles de confiance.mp4 (115.73 MB)
31 Jour 4 Tests d’hypothèse et valeurs p.mp4 (73.39 MB)
32 Jour 5 Types de tests d’hypothèse.mp4 (138.95 MB)
33 Jour 6 Corrélation et régression.mp4 (132.32 MB)
34 Jour 7 Projet d’analyse statistique – Analyse de données réelles.mp4 (216.65 MB)
35 Introduction à la semaine 5 – ML.mp4 (3.61 MB)
36 Jour 1 Bases du machine learning et terminologie.mp4 (106.94 MB)
37 Jour 2 Apprentissage supervisé et modèles de régression.mp4 (102.61 MB)
38 Jour 3 Régressions avancées – polynomiale et régularisation.mp4 (271.41 MB)
39 Jour 4 Classification et régression logistique.mp4 (209.86 MB)
40 Jour 5 Évaluation des modèles et validation croisée.mp4 (119.56 MB)
41 Jour 6 Algorithme des k-plus proches voisins (k-NN).mp4 (145.01 MB)
42 Jour 7 Mini projet d’apprentissage supervisé.mp4 (236.96 MB)
43 Introduction à la semaine 6 – Feature Engineering.mp4 (2.92 MB)
44 Jour 1 Introduction à l’ingénierie des caractéristiques.mp4 (114.65 MB)
45 Jour 2 Normalisation et mise à l’échelle des données.mp4 (139.36 MB)
46 Jour 3 Encodage des variables catégorielles.mp4 (141.79 MB)
47 Jour 4 Techniques de sélection de caractéristiques.mp4 (133.67 MB)
48 Jour 5 Création et transformation de caractéristiques.mp4 (145.75 MB)
49 Jour 6 Méthodes d’évaluation des modèles.mp4 (125.69 MB)
50 Jour 7 Validation croisée et réglage des hyperparamètres.mp4 (171.45 MB)
51 Introduction à la semaine 7 – Algorithmes avancés.mp4 (2.86 MB)
52 Jour 1 Introduction à l’apprentissage ensembliste.mp4 (117.95 MB)
53 Jour 2 Bagging et forêts aléatoires.mp4 (112.51 MB)
54 Jour 3 Boosting et Gradient Boosting.mp4 (132.93 MB)
55 Jour 4 Introduction à XGBoost.mp4 (175.24 MB)
56 Jour 5 LightGBM et CatBoost.mp4 (184.41 MB)
57 Jour 6 Gérer les données déséquilibrées.mp4 (152.46 MB)
58 Jour 7 Projet – Comparaison de modèles sur données réelles.mp4 (216.47 MB)
59 Introduction à la semaine 8 – Optimisation.mp4 (4.55 MB)
60 Jour 1 Introduction au tuning des hyperparamètres.mp4 (112.71 MB)
61 Jour 2 Grid Search et Random Search.mp4 (141.69 MB)
62 Jour 3 Optimisation bayésienne.mp4 (263.75 MB)
63 Jour 4 Techniques de régularisation.mp4 (118.15 MB)
64 Jour 5 Validation croisée et évaluation.mp4 (109.7 MB)
65 Jour 6 Tuning automatisé avec GridSearchCV et RandomizedSearchCV.mp4 (184.1 MB)
66 Jour 7 Projet – Construction et réglage du modèle final.mp4 (230.82 MB)
67 Introduction à la semaine 9 – Deep Learning.mp4 (4.13 MB)
68 Jour 1 Concepts de base en deep learning.mp4 (117.5 MB)
69 Jour 2 Propagation avant et fonctions d’activation.mp4 (120.42 MB)
70 Jour 3 Fonctions de perte et rétropropagation.mp4 (131.28 MB)
71 Jour 4 Descente de gradient et techniques d’optimisation.mp4 (186.52 MB)
72 Jour 5 Création de réseaux avec TensorFlow et Keras.mp4 (168.06 MB)
73 Jour 6 Création de réseaux avec PyTorch.mp4 (252.92 MB)
74 Jour 7 Projet – Classification d’images avec CIFAR-10.mp4 (213.99 MB)
75 Introduction à la semaine 10 – CNNs.mp4 (4.09 MB)
76 Jour 1 Introduction aux CNNs.mp4 (227.53 MB)
77 Jour 2 Couches convolutives et filtres.mp4 (203.21 MB)
78 Jour 3 Couches de pooling et réduction de dimension.mp4 (230.56 MB)
79 Jour 4 Architectures CNN avec KerasTensorFlow.mp4 (158.86 MB)
80 Jour 5 Architectures CNN avec PyTorch.mp4 (208.21 MB)
81 Jour 6 Régularisation et augmentation de données.mp4 (159.08 MB)
82 Jour 7 Projet CNN – Classification Fashion MNIST ou CIFAR-10.mp4 (254.2 MB)
83 Introduction à la semaine 11 – RNNs et séquences.mp4 (4.37 MB)
84 Jour 1 Introduction à la modélisation séquentielle.mp4 (264.26 MB)
85 Jour 2 Architecture RNN et rétropropagation temporelle.mp4 (220.56 MB)
86 Jour 3 Réseaux LSTM.mp4 (117.03 MB)
87 Jour 4 Unités GRU.mp4 (57.3 MB)
88 Jour 5 Prétraitement de texte et word embeddings.mp4 (216.34 MB)
89 Jour 6 Modèles séquence-à-séquence et applications.mp4 (460.28 MB)
90 Jour 7 Projet RNN – Génération de texte ou analyse de sentiment.mp4 (162.83 MB)
91 Introduction à la semaine 12 – Transformers.mp4 (4.29 MB)
92 Jour 1 Mécanismes d’attention.mp4 (120.6 MB)
93 Jour 2 Architecture Transformer.mp4 (156.75 MB)
94 Jour 3 Attention multi-tête et auto-attention.mp4 (192.27 MB)
95 Jour 4 Encodage positionnel et réseaux feed-forward.mp4 (174.33 MB)
96 Jour 5 Utilisation de BERT et GPT pré-entraînés.mp4 (184.14 MB)
97 Jour 6 Transformers avancés – variantes BERT et GPT-3.mp4 (192.57 MB)
98 Jour 7 Projet Transformer – Résumé ou traduction de texte.mp4 (170.48 MB)
99 Introduction à la semaine 13 – Transfer Learning.mp4 (3.52 MB)
100 Jour 1 Concepts de base de l’apprentissage par transfert.mp4 (129.1 MB)
101 Jour 2 Apprentissage par transfert en vision par ordinateur.mp4 (247.35 MB)
102 Jour 3 Techniques de fine-tuning en vision.mp4 (203 MB)
103 Jour 4 Transfer Learning en NLP.mp4 (149.99 MB)
104 Jour 5 Fine-tuning en NLP.mp4 (241.44 MB)
105 Jour 6 Adaptation de domaine et défis.mp4 (139.03 MB)
106 Jour 7 Projet – Fine-tuning pour une tâche personnalisée.mp4 (173.13 MB)]
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May 21, 2026

9 Windows (2024) [1080p] [WEBRip] [5.1] [YTS MX]

9 Windows (2024) 3.6 (334 Votes)
Runtime: 1h 22m

Genre: Crime, Horror, Mystery

Cast: William Forsythe, Michael Paré, Diana Garle

Plot: After a tragic accident that killed her parents, Liza is unable to walk and spends her days trolling vloggers. When she witnesses a murder online, the police dismisses it as a hoax, and it’s up to Liz

9 Windows (2024) [1080p] [WEBRip] [5.1] [YTS MX]

IMDB information:
Title: 9 Windows (2024)
Genres: Crime, Mystery, Horror, Thriller
Description: After a tragic accident that killed her parents, Liza is unable to walk and spends her days trolling vloggers. When she witnesses a murder online, the police dismisses it as a hoax, and it’s up to Liza to find the killer.
Director: Lou Simon
Writer: Lou Simon
Actors: William Forsythe, Michael Paré, Diana Garle
Rating: 0.0
Runtime: N/A
Language: English
Country: United States
Rate: R Click to expand…
IMDb:
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https://www.imdb.com/title/tt16539314/

mp4 | 1.52 GB | 1920×960
01:22:14 | avc1 | Unknown language
2248 Kbps | 23.976 fps | 2.0:1 Click to expand…
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May 21, 2026

MasterClass – Lewis Hamilton Teaches a Winning Mindset

MasterClass – Lewis Hamilton Teaches a Winning Mindset
.MKV, AVC, 1920×1080, 24 fps | English, AAC, 2 Ch | 2h 12m | + PDF | 5.73 GB

As the winningest Formula 1 driver in the history of the sport, Lewis Hamilton knows what it takes to come out on top. Now, he’s teaching you how to achieve greatness in your own life. Whether you already know your goals or are still trying to figure them out, you’ll learn how to face your fears, turn negatives into positives, and continuously challenge yourself in order to find-and reach-your true potential.

From the time Lewis Hamilton began kart racing as a child, he noticed he was the only driver of color. For years, he tried his hardest to blend in, but as he grew into himself and into his role as a champion F1 driver, he learned to not only embrace his differences, but also to celebrate them.

Now, Lewis is committed to promoting diversity and inclusion to underrepresented groups in engineering and motorsports and has created foundations such as Mission 44 and the Hamilton Commission to jump-start change in the motorsport industry.

In addition to being an activist for social justice, Lewis is also an advocate for the environment and is using his platform to help educate and motivate others to join in the fight for change.

Lessons in this online class include:

Ignite Your Passion
The Power of Influences and Inspiration
At One With the Machine
How to Deal With Failure
How to Build Trust and Promote Teamwork
How to Exercise Self-Discipline
Optimize Your Body for Performance
Mental Preparation
The Power of Diverse Interests
Influence the World Beyond Your Own
Pave the Path for Others

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May 21, 2026

MasterClass – Jake Shimabukuro Teaches Ukulele

2.16 GB | 23min 26s | mkv | 960X540 | 16:9
Genre:eLearning |Language:English

Files Included :
FileName :01 Meet Your Instructor.mkv | Size: (43.3 MB)
FileName :02 OO·koo·LEY·ley Basics.mkv | Size: (56.9 MB)
FileName :03 Holding Your ‘Ukulele.mkv | Size: (74.05 MB)
FileName :04 Navigating the Fretboard.mkv | Size: (134.7 MB)
FileName :05 Strumming Techniques.mkv | Size: (114.37 MB)
FileName :06 Demystifying Chords.mkv | Size: (306.87 MB)
FileName :07 Playing Advanced Chords.mkv | Size: (181.68 MB)
FileName :08 Melodic and Rhythmic Dimension.mkv | Size: (141.96 MB)
FileName :09 Finding Your Sound.mkv | Size: (90.42 MB)
FileName :10 Mastering Vibrato.mkv | Size: (59.07 MB)
FileName :11 The Magic of Tremolo.mkv | Size: (197.75 MB)
FileName :12 Tremolo Performance "While My Guitar Gently Weeps".mkv | Size: (53.8 MB)
FileName :13 Breaking Down the Classics "Hallelujah".mkv | Size: (95.9 MB)
FileName :14 The Classics Performance "Hallelujah".mkv | Size: (70.16 MB)
FileName :15 The Beauty of Harmonics.mkv | Size: (80.37 MB)
FileName :16 Harmonics Performance "Dragon".mkv | Size: (74.37 MB)
FileName :17 Arranging "Bohemian Rhapsody".mkv | Size: (147.35 MB)
FileName :18 Arranging Performance "Bohemian Rhapsody".mkv | Size: (45.64 MB)
FileName :19 Creating an Original Song.mkv | Size: (230.84 MB)
FileName :20 Okage Sama De.mkv | Size: (16.24 MB)]
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May 21, 2026

Master Time Series Analysis and Forecasting with Python 2025

20.99 GB | 26min 20s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 Time Series Analysis and Forecasting with Python.mp4 (10.51 MB)
2 Course Introduction.mp4 (17.24 MB)
4 Diogo’s Introduction and Background.mp4 (28 MB)
5 Unlimited Updates and Enhancements 2025.mp4 (27.86 MB)
1 Time Series Analysis Overview.mp4 (40.92 MB)
1 Game Plan for Introduction to Time Series Forecasting.mp4 (18.5 MB)
2 What is Time Series Data.mp4 (14.33 MB)
3 Python – Libraries and Data.mp4 (23.69 MB)
4 Python – Time Series Index.mp4 (74.37 MB)
5 Python – Exploratory Data Analysis.mp4 (52.74 MB)
6 Python – Data Visualization.mp4 (45.22 MB)
7 Python – Data Manipulation.mp4 (79.38 MB)
8 Seasonal Decomposition.mp4 (26.94 MB)
9 Python – Seasonal Plots.mp4 (51.02 MB)
10 Python – Seasonal Decomposition.mp4 (74.18 MB)
11 Auto-Correlation.mp4 (10.67 MB)
12 Python – Auto-correlation.mp4 (41.69 MB)
13 Partial Auto-Correlation.mp4 (15.38 MB)
14 Python – Partial Auto-Correlation.mp4 (28.95 MB)
15 Python – Building a Useful Function Script.mp4 (37.64 MB)
16 Can you predict stock prices.mp4 (20.46 MB)
17 What did we learn in this section.mp4 (14.99 MB)
18 CASE STUDY Forecasting Gone Wrong.mp4 (63.16 MB)
19 Will you help me.mp4 (13.7 MB)
1 Game Plan For Exponential Smoothing and Holt-Winters.mp4 (21.72 MB)
2 CASE STUDY BRIEFING Customer Complaints.mp4 (16.87 MB)
3 Python – Set Up.mp4 (62.15 MB)
4 Python – Data Processing.mp4 (40.09 MB)
5 Python – Exploratory Data Analysis.mp4 (58.85 MB)
6 Training and Test Set in Time Series.mp4 (15.73 MB)
7 Python – Training and Test Set.mp4 (14.29 MB)
8 Simple Exponential Smoothing.mp4 (23.57 MB)
9 Python – Simple Exponential Smoothing.mp4 (51.72 MB)
10 Double Exponential Smoothing.mp4 (17.44 MB)
11 Python – Double Exponential Smoothing.mp4 (57.24 MB)
12 Triple Exponential Smoothing aka Holt-Winters.mp4 (25.7 MB)
13 Python – Triple Exponential Smoothing aka Holt-Winters.mp4 (35.89 MB)
14 Measuring Errors for Time Series Forecasting.mp4 (33.97 MB)
15 Python – MAE, RMSE, MAPE.mp4 (91.3 MB)
16 Python – Predicting The Future.mp4 (51.6 MB)
17 Python – Daily Data.mp4 (91.49 MB)
18 Python – Working on the Useful Code Script.mp4 (25.35 MB)
19 Holt-Winter Pros and Cons.mp4 (16.2 MB)
1 Project Presentation Air miles.mp4 (11.59 MB)
2 Python Solutions Setting up and EDA.mp4 (146.25 MB)
3 Python Solutions Model building and Assessment.mp4 (84.24 MB)
1 Game Plan for ARIMA, SARIMA and SARIMAX.mp4 (20.24 MB)
2 CASE STUDY BRIEFING Predicting Daily Revenues.mp4 (25.36 MB)
3 Python – Setting Up.mp4 (94.32 MB)
4 ARIMA.mp4 (19.31 MB)
5 Auto-Regressive.mp4 (24.43 MB)
6 Integrated.mp4 (27.33 MB)
7 Python – Stationarity with ChatGPT.mp4 (65.86 MB)
8 Moving Average.mp4 (15.41 MB)
9 Python – ARIMA.mp4 (90.23 MB)
10 AIC and BIC.mp4 (26.53 MB)
11 SARIMA.mp4 (19.18 MB)
12 Python – SARIMA.mp4 (61.47 MB)
13 SARIMAX.mp4 (17.07 MB)
14 Python – SARIMAX.mp4 (82.01 MB)
15 Cross-Validation for Time Series.mp4 (17.94 MB)
16 Python – Cross-Validation.mp4 (100.92 MB)
17 Parameter Tuning.mp4 (16.04 MB)
18 Python – Setting the Parameters.mp4 (49.34 MB)
19 Python – Parameter Tuning.mp4 (151.32 MB)
20 Python – Parameter Tuning Results.mp4 (30.49 MB)
21 Python – Predicting The Future Set Up.mp4 (38.03 MB)
22 Python – Predicting The Future.mp4 (34.64 MB)
23 SARIMAX Pros and Cons.mp4 (15.27 MB)
1 Modern Time Series Forecasting Overview.mp4 (28.98 MB)
1 Game Plan for Facebook Prophet.mp4 (24.99 MB)
2 Structural Time Series and Prophet.mp4 (55.37 MB)
3 CASE STUDY BRIEFING Bike Sharing.mp4 (29.26 MB)
4 Python – Directory and Libraries.mp4 (106.17 MB)
5 Python – Preparing Data.mp4 (135.17 MB)
6 Python – Exploratory Data Analysis.mp4 (139.52 MB)
7 Dynamic Holidays.mp4 (20.98 MB)
8 Python – Holidays.mp4 (144.83 MB)
9 Prophet Model Parameters.mp4 (26.83 MB)
10 Python – Prophet Model.mp4 (90.46 MB)
11 Python – Regressor Coefficients with ChatGPT.mp4 (148.44 MB)
12 Python – Cross-Validation.mp4 (97.63 MB)
13 Python – Performance Metrics.mp4 (98.97 MB)
14 Python – Fixing 2012-10-29 with ChatGPT.mp4 (243.12 MB)
15 Python – Feature Engineering.mp4 (187.87 MB)
16 Python – Parameter Tuning Set Up.mp4 (51.3 MB)
17 Python – Parameter Tuning.mp4 (77.7 MB)
18 Python – Parameter Tuning Outcome.mp4 (65.62 MB)
19 Python – Predicting The Future Set Up.mp4 (109.62 MB)
20 Python – Tuned Prophet Model.mp4 (38.46 MB)
21 Python – Forecasting.mp4 (121.09 MB)
22 Python – Prophet Data Visualization with ChatGPT.mp4 (115.38 MB)
23 Prophet Pros and Cons.mp4 (12.64 MB)
1 Project Introduction.mp4 (61.03 MB)
2 Python – Challenge Solutions Part 1.mp4 (192.48 MB)
3 Python – Challenge Solutions Part 2.mp4 (366.63 MB)
4 Python – Challenge Solutions Part 3.mp4 (72.77 MB)
1 Game Plan for Linkedin Silverkite.mp4 (16.15 MB)
2 LinkedIn Silverkite.mp4 (8.24 MB)
3 Linkedin Silverkite versus Facebook Prophet.mp4 (20.7 MB)
5 Python – Directory and Libraries.mp4 (129.23 MB)
6 Python – Loading and Preparing Data.mp4 (72.37 MB)
7 Python – Metadata.mp4 (66.6 MB)
8 Model Components.mp4 (34.3 MB)
9 Growth terms.mp4 (18.63 MB)
10 Python – Growth terms.mp4 (42.07 MB)
11 Types of Seasonality.mp4 (29.14 MB)
12 Python – Seasonality.mp4 (37.58 MB)
13 Python – Available Countries and Holidays.mp4 (131.38 MB)
14 Python – Changepoints.mp4 (36.35 MB)
15 Lagged Regressors.mp4 (18.43 MB)
16 Python – Regressors, Lagged Regressors and Autoregression.mp4 (52.04 MB)
17 Fitting the data.mp4 (22.04 MB)
18 Ridge.mp4 (41.67 MB)
19 Gradient Boosting – Boosting.mp4 (33.76 MB)
20 Gradient Boosting – Feature Sampling.mp4 (16.39 MB)
21 Python – Custom Elements and Silverkite Model.mp4 (73.53 MB)
22 Python – Silverkite Cross-Validation.mp4 (241.82 MB)
23 Python – Parameter Tuning Results.mp4 (103.61 MB)
24 Python – Visualization and Forecast.mp4 (127.5 MB)
25 Linkedin Silverkite Pros and Cons.mp4 (15.36 MB)
1 Deep Learning for Time Series Forecasting Overview.mp4 (22.48 MB)
1 Game Plan for LSTM.mp4 (58.69 MB)
2 Simple Neural Network.mp4 (42.53 MB)
3 Recurrent Neural Networks (RNN).mp4 (21.88 MB)
4 LSTM.mp4 (35.48 MB)
5 Python – Directory and Libraries.mp4 (144.22 MB)
6 Python – EDA.mp4 (59.41 MB)
7 Python – Time Series Objects.mp4 (50.01 MB)
8 Python – Time Variables.mp4 (87.91 MB)
9 Python – Scaling.mp4 (72 MB)
10 LSTM parameters.mp4 (21.34 MB)
11 Activation Functions.mp4 (28.34 MB)
12 Python – LSTM Model.mp4 (165.64 MB)
13 Python – Cross-Validation.mp4 (66.69 MB)
14 Python – Cross-Validation Performance.mp4 (166.85 MB)
15 Python – Parameter Grid.mp4 (80.3 MB)
16 Python – Parameter Tuning Round 1.mp4 (98.7 MB)
17 Python – Parameter Tuning Round 1 Part 2.mp4 (102.96 MB)
18 Python – Parameter Tuning Round 2.mp4 (180.52 MB)
19 Python – Parameter Tuning Final Results.mp4 (75.97 MB)
20 Python – Tuned LSTM Model.mp4 (104.89 MB)
21 Python – Predicting The Future.mp4 (59.11 MB)
22 Multiple Time Series Forecasting.mp4 (68.31 MB)
23 M4 Data set.mp4 (33.31 MB)
24 Python – Preparing Script and Loading Data.mp4 (153.66 MB)
25 Python – Preprocessing Data.mp4 (61.53 MB)
26 Python – Preprocessing Time.mp4 (71.3 MB)
27 Python – Visualization + Hourly Seasonality.mp4 (159.06 MB)
28 Python – Daily Seasonality.mp4 (57.16 MB)
29 Python – Time Covariates, Scaling and Time Steps.mp4 (52.93 MB)
30 Python – LSTM Model and Cross-Validation with Multiple Series.mp4 (39.64 MB)
31 Python – CV Results.mp4 (141.23 MB)
32 Python – CV Visualization.mp4 (85.08 MB)
33 Python – Parameter Tuning round 1.mp4 (107.68 MB)
34 Python – Parameter Tuning round 2.mp4 (64.58 MB)
35 Python – Predicting the future.mp4 (197.27 MB)
36 LSTM Pros and Cons.mp4 (12.67 MB)
1 Game Plan for TFT.mp4 (24.33 MB)
2 Introduction to Temporal Fusion Transformers.mp4 (65.01 MB)
3 Case Study Briefing – Electricity Pricing.mp4 (19.17 MB)
4 Python – Starter File.mp4 (121.73 MB)
5 TFT Model Architecture.mp4 (140.14 MB)
6 Covariates Past, Future and Static.mp4 (15.73 MB)
7 Python – Series, Time and Static Covariates.mp4 (114.05 MB)
8 Python – Past Covariates.mp4 (28.24 MB)
9 Python – Future Covariates.mp4 (119.91 MB)
10 Python – Scaling.mp4 (38.05 MB)
11 TFT Model Parameters.mp4 (29.79 MB)
12 Python – TFT Model.mp4 (138.68 MB)
13 Python – Cross-Validation.mp4 (63.11 MB)
14 Python – Cross-Validation Results.mp4 (74.7 MB)
15 Python – Visualizing the Cross-Validation Results.mp4 (56.66 MB)
16 Random vs Complete Parameter Tuning.mp4 (34.07 MB)
17 Python – Parameter Grid.mp4 (104.05 MB)
18 Python – Parameter Tuning.mp4 (89.05 MB)
19 Python – Parameter Tuning Results and Storing.mp4 (84.19 MB)
20 Python – Tuned TFT Model.mp4 (83.67 MB)
21 Python – Forecasting and Visualization.mp4 (87.62 MB)
22 Python – Interpretability.mp4 (87.88 MB)
23 TFT – Pros and Cons.mp4 (16.45 MB)
24 TFT Key Takeaways.mp4 (17.26 MB)
1 Project Presentation Multiple Series with TFT.mp4 (23 MB)
2 Python Solutions – TFT Model.mp4 (295.04 MB)
3 Python Solutions – Cross-Validation.mp4 (33.19 MB)
4 Python Solutions – Parameter Tuning.mp4 (149.76 MB)
5 Python Solutions – Predict The Future.mp4 (100.39 MB)
1 Game plan for N-BEATS.mp4 (30.75 MB)
2 Introduction to N-BEATS.mp4 (47.85 MB)
3 N-BEATS Architecture.mp4 (60.91 MB)
4 Python – Setup.mp4 (88.04 MB)
5 Python – Series.mp4 (102.28 MB)
6 Python – Past Covariates.mp4 (28.79 MB)
7 Python – Scaling.mp4 (36.1 MB)
8 N-BEATS Model Parameters.mp4 (46.68 MB)
9 Python – N-BEATS Model.mp4 (80.84 MB)
10 Python – Cross-Validation.mp4 (38.91 MB)
11 Python – Cross-Validation Results and Visualization.mp4 (218.93 MB)
12 Python – Parameters.mp4 (84.27 MB)
13 Python – Parameter Tuning.mp4 (59.52 MB)
14 Python – Best Parameters.mp4 (103.64 MB)
15 Python – Tuned N-Beats model.mp4 (74.07 MB)
16 Python – Predicting the future.mp4 (78.31 MB)
17 N-Beats Pros and Cons.mp4 (28.23 MB)
18 What did we learn with N-Beats.mp4 (22.97 MB)
1 Advanced Content for Time Series Forecasting Overview.mp4 (10.29 MB)
1 Game Plan for Amazon Chronos.mp4 (16.55 MB)
2 Introduction to Amazon Chronos.mp4 (48.76 MB)
3 Amazon Chronos Architecture.mp4 (60.19 MB)
4 Python – Setup.mp4 (70.34 MB)
5 Python – Dates.mp4 (120.31 MB)
6 Amazon Chronos Parameters.mp4 (30.21 MB)
7 Python – Amazon Chronos Model.mp4 (136.07 MB)
8 Python – Cross-Validation part 1.mp4 (166.92 MB)
9 Python – Cross-Validation part 2.mp4 (148.17 MB)
10 Python – Cross-Validation part 3.mp4 (141.45 MB)
11 Python – Parameter Tuning.mp4 (166.28 MB)
12 Python – Tuned Amazon Chronos Model.mp4 (132.28 MB)
13 Python – Visualizing the Forecast.mp4 (98.28 MB)
14 Amazon Chronos Pros and Cons.mp4 (20.8 MB)
15 What did we learn with Amazon Chronos.mp4 (10.14 MB)
1 Game Plan for Amazon AutoGluon.mp4 (40.68 MB)
2 Introduction to Amazon AutoGluon and Presets.mp4 (58.38 MB)
3 Python – Libraries and Data.mp4 (58.53 MB)
4 Python – Data Processing.mp4 (102.59 MB)
5 Python – Amazon AutoGluon model.mp4 (113.19 MB)
6 Python – Amazon AutoGluon model outcome.mp4 (94.37 MB)
7 Python – Amazon AutoGluon with Covariates.mp4 (73.21 MB)
8 Python – Amazon AutoGluon Final Model Outcome.mp4 (154.28 MB)
9 Python – Interpretability.mp4 (119.93 MB)
10 Amazon AutoGluon Recap Key Learning.mp4 (27.22 MB)
1 Project Presentation Build an Automated Time Series Forecasting Model.mp4 (46.57 MB)
2 Python – Build an Automated Time Series Forecasting Model Part 1.mp4 (138.35 MB)
3 Python – Build an Automated Time Series Forecasting Model Part 2.mp4 (228.3 MB)
4 Python – Build an Automated Time Series Forecasting Model Part 3.mp4 (80.71 MB)
5 Python – Build an Automated Time Series Forecasting Model Part 4.mp4 (200.63 MB)
6 Python – Build an Automated Time Series Forecasting Model Part 5.mp4 (230.47 MB)
7 Python – Build an Automated Time Series Forecasting Model Part 6.mp4 (188.03 MB)
8 Python – Build an Automated Time Series Forecasting Model Part 7.mp4 (105.57 MB)
1 Python for Data Analysis Overview.mp4 (29.23 MB)
3 Setting up Google Colab.mp4 (86.97 MB)
4 Setting up Jupyter Notebook.mp4 (175.05 MB)
1 Game Plan for Python – Essentials.mp4 (10.44 MB)
2 Print Function.mp4 (19.55 MB)
3 Python – Print Function.mp4 (47.17 MB)
8 Python Solutions Print Function.mp4 (35.34 MB)
9 Input Function.mp4 (11.01 MB)
10 Python Input Function.mp4 (26.52 MB)
11 Python Solutions Input Function.mp4 (15.78 MB)
12 CHALLENGE Your Superhero Name.mp4 (21.79 MB)
13 Variable Types.mp4 (15.96 MB)
14 Python Variable Types.mp4 (35 MB)
16 Python Solutions Variable Types.mp4 (28.93 MB)
17 Arithmetic Operators.mp4 (22.24 MB)
18 Python Arithmetic Operators.mp4 (28.42 MB)
21 Python Solutions Arithmetic Operators.mp4 (61.22 MB)
22 Comparison Operators.mp4 (16.53 MB)
23 Python Comparison Operators.mp4 (15.2 MB)
27 Python Solutions Comparison Operators.mp4 (11.84 MB)
28 CHALLENGE Split Bill Calculator.mp4 (72.63 MB)
29 If-else Conditions.mp4 (24.39 MB)
30 Python If-else Conditions.mp4 (28.95 MB)
32 Python Solutions If-else conditions.mp4 (49.23 MB)
33 CHALLENGE Berghain Club Bouncer.mp4 (88.44 MB)
34 CHALLENGE Your Monthly Savings Plan.mp4 (138.17 MB)
35 Wrap up Python Essentials.mp4 (12.61 MB)
37 Atomic Habits, by James Clear.mp4 (86.25 MB)
1 Game Plan for Python Intermediate.mp4 (17.2 MB)
2 While Loops.mp4 (11.33 MB)
3 Python While Loops.mp4 (32 MB)
5 Python Solutions Countdown Timer.mp4 (18.59 MB)
6 Lists.mp4 (20.8 MB)
7 Python – Lists.mp4 (40.99 MB)
9 Python Solutions Expense Report.mp4 (22.81 MB)
11 Python Solutions Fibonacci Numbers.mp4 (23.99 MB)
12 Randomization.mp4 (22.31 MB)
13 Python Randomization.mp4 (45.2 MB)
15 Python Solutions Pick My Next Movie.mp4 (40.29 MB)
16 CHALLENGE Read My Mind.mp4 (138.19 MB)
17 Dictionaries.mp4 (10.47 MB)
18 Python Dictionaries.mp4 (29.09 MB)
19 EXERCISE Magical Pet Dictionary.mp4 (54.57 MB)
20 CHALLENGE The Budgeting Mastermind.mp4 (144.05 MB)
21 For Loops.mp4 (11.9 MB)
22 Python For Loops.mp4 (18.64 MB)
23 EXERCISE Sum of Numbers.mp4 (50.21 MB)
24 EXERCISE Count the Number of Characters.mp4 (40.27 MB)
25 CHALLENGE Treasure Hunter.mp4 (111.09 MB)
26 Functions.mp4 (22.01 MB)
27 Python Functions.mp4 (40.76 MB)
29 Python Solutions Adding Numbers.mp4 (13.06 MB)
31 Python Solutions Counting Vowels.mp4 (22.07 MB)
33 Pythol Solutions Fahrenheit to Celsius.mp4 (54.9 MB)
34 CHALLENGE Recipe Converter.mp4 (161.78 MB)
35 Wrap Up Python Intermediate.mp4 (17.63 MB)
37 Limitless, by Jim Kwik.mp4 (48.41 MB)
1 Project Presentation Virtual Escape Game.mp4 (28.27 MB)
2 Python – Virtual Escape Game Solutions part 1.mp4 (112.23 MB)
3 Python – Virtual Escape Game Solutions part 2.mp4 (113.59 MB)
4 Python – Solving with ChatGPT.mp4 (216.28 MB)
1 Game Plan for Pandas.mp4 (10.27 MB)
2 Pandas Overview.mp4 (29.96 MB)
3 Python Importing and Exporting Data.mp4 (77.6 MB)
4 Python Sorting and Filtering Data with Pandas.mp4 (80.3 MB)
9 Python Solutions Sorting and Filtering Data with Pandas.mp4 (54.88 MB)
10 Python Data Cleaning and Preparation.mp4 (101.48 MB)
14 Python Solutions Data Cleaning and Preparation.mp4 (44.4 MB)
15 Python Data Manipulation.mp4 (68.91 MB)
20 Python Solutions Data Manipulation.mp4 (134.98 MB)
21 Python Data Analysis.mp4 (69.57 MB)
25 Python Solutions Data Analysis.mp4 (105.09 MB)
26 Python Data Visualization with Pandas.mp4 (71.94 MB)
27 EXERCISE Data Visualization with Pandas.mp4 (60.63 MB)
28 Wrap Up Pandas.mp4 (16.81 MB)
1 Challenge Presentation Pandas.mp4 (16.58 MB)
2 Python – Importing Data.mp4 (35.87 MB)
3 Python – Sorting and Filtering Data.mp4 (55.14 MB)
4 Python – Data Cleaning and Preparation.mp4 (129.37 MB)
5 Python – Data Manipulation.mp4 (110.44 MB)
6 Python – Data Analysis.mp4 (72.03 MB)
7 Python – Data Visualization with Pandas.mp4 (81.7 MB)]
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May 21, 2026

Master System Design and Design Pattern

Master System Design and Design Pattern
Last updated 2023-01-26
Duration: 08:25:51 | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.46 GB
Genre: eLearning | Language: English

System Design and Architecture, HLD & LLD, Design Patterns for Distributed Systems, Object-Oriented Design Patterns
What you’ll learn
Advance System Design Course
Perform real-world industrial projects and use-cases.
Best Interview Preparation Course trained by Top Experts
Get Assured Interview Call from Top Recruiters
Requirements
Basic Programming Knowledge
Description
This course explains all the deep concepts of scalable system design problems and design patterns. These problems are frequently asked during interviews. It also explains all core components of distributed system.
This course is for students in colleges preparing for campus placements and also for working professional who wants to crack interviews in top tech product-based companies.

What is the System Design course?

A System Design course typically covers the process of designing complex systems, including the techniques and methodologies used to gather and analyze system requirements, design system architecture, and evaluate and optimize system performance. The course may also cover topics such as system modeling and simulation, system testing and validation, and project management.

How system design course help to get placed in top tech companies?

A System Design course can provide professionals with the knowledge and skills needed to succeed in roles related to designing and building large-scale systems. By learning about the techniques and methodologies used to gather and analyze system requirements, design system architecture, and evaluate and optimize system performance, students will be better equipped to design, build, and maintain complex systems. Additionally, by learning about system modeling and simulation, system testing and validation, and project management, students will be better equipped to manage and lead projects related to system design and development. These skills are in high demand in top tech companies and can help students stand out in the job market and increase their chances of getting hired by a top company.
Also, being familiar with industry standard tools like UML, design patterns, and software development methodologies like Agile, Scrum, etc. are highly valued by top tech companies as they are widely used in industry.
In summary, a System Design course will provide students with a strong foundation in the concepts and skills needed to design and build large-scale systems, which can make them more attractive to top tech companies looking for candidates with experience in this area.

Who this course is for:
Candidates curious to learn System Design
Working professionals preparing for interviews of Top tech companies
Candidate who want to crack System Design Interview

More Info

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May 21, 2026

Master MongoDB: Cloud Based NoSQL Database Management

Master MongoDB: Cloud Based NoSQL Database Management
Published 8/2025
Duration: 2h 44m | .MP4 1280×720 30 fps(r) | AAC, 44100 Hz, 2ch | 641.59 MB
Genre: eLearning | Language: English

A complete guide to mastering MongoDB for cloud based development, data modeling, and real time applications.

What you’ll learn

What is NoSQL? Types of NoSQL Databases (document, key-value, columnar, graph)
Introduction to MongoDB
Advantages and Disadvantages of NoSQL databases
Installation and Configuration of MongoDB
MongoDB Shell and Basic Commands
Data Modeling with MongoDB (documents, collections, databases)
Data Types in MongoDB
Basic Queries (find, findOne)
Query Operators (comparison, logical, array, element)
Aggregation Stages (match, group, project, sort, limit)
Data Aggregation Examples (e.g., calculating averages, finding top values)
Indexing in MongoDB
Creating and Managing Indexes
Query Performance Optimization
DataBackup and Recovery
Authentication and Authorization
Encryption and Data Security

Requirements
– No MongoBD experience needed

Description
Are you ready to master the most popular NoSQL database and take your backend development skills to the next level?

Welcome to Master MongoDB: Cloud Based NoSQL Database Management, a complete, hands-on course that teaches you how to design, build, and manage modern, scalable databases using MongoDB, the industry leading NoSQL solution.

Whether you’re a developer, data engineer, or aspiring backend professional, this course will equip you with practical skills to manage MongoDB locally and in the cloud (using MongoDB Atlas), integrate it with your apps, and structure data for real world scalability and performance.

What You’ll Learn

The fundamentals of NoSQL and how MongoDB differs from relational databases

Installing MongoDB locally and using cloud hosted MongoDB Atlas

Working with MongoDB Shell, Compass GUI, and MongoDB Atlas UI

Understanding documents, collections, and database design best practices

Performing CRUD operations (Create, Read, Update, Delete)

Designing complex queries with filtering, sorting, projection, and aggregation

Indexing for performance and query optimization

Data validation, schema design, and relationships using embedded and referenced documents

Securing, backing up, and deploying MongoDB databases in production

Why MongoDB? Why This Course?

MongoDB is used by top companies like Google, Adobe, Uber, and eBay. It’s the go to solution for applications that require flexibility, horizontal scaling, and cloud native performance.

This course focuses on hands-on practice, real world use cases, and cloud based deployment, not just theory. You’ll walk away with the skills to confidently design and manage MongoDB databases that power real apps.

What’s Included

Step-by-step video tutorials for beginners to advanced users

Lifetime access

Certificate of Completion

Ready to Become a MongoDB Expert?

Join and start building powerful, data driven applications using one of the most in-demand technologies today.

Click Enroll Now and take your database skills to the cloud with MongoDB!

Who this course is for:

Anyone looking to become proficient in database management for modern apps
Students, engineers, and IT professionals interested in scalable cloud-based data storage
Backend and full-stack developers who want to integrate MongoDB into their applications
Frontend developers who want to understand and connect to NoSQL databases

More Info

Please check out others courses in your favourite language and bookmark them
– – – –

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May 21, 2026

Master Load Balancing with HAProxy

Year of release : 2021
Manufacturer : Udemy
Manufacturer’s website : Code:Copy to clipboard

https://www.udemy.com/course/master-load-balancing-with-haproxy/

Author : Amir Kamali
Duration : ~13h
Type of material distributed : Video lesson
Language : En

In this course, we will learn about Load balancer concepts and its advantages specifically HAProxy.
HAProxy is flexible, fast and reliable open source software which can provide us with reverse proxy and load balancing ability.
We will conceptually talk about different aspects of HAProxy and load balancing.For each topic we will bring up lab environments by Vagrant and practice what we have learned and we verify the results to meet our expectations.Our basic topic includes:
HAProxy installation
HAProxy basic configuration sections
HTTP mode
TCP mode
Non Default ports
We then move to more advanced topics including:
ACL
Logging
SSL termination
HA
Health check and server failure detection
I also added a section on how to automate HAProxy installation and configuration with Ansible at the end of the course(This section is completely optional).
The only prerequisite for this course is basic familiarity of Linux commands, and layers of TCP/IP stack specially TCP protocol and above.
You need a laptop with some tools installed including text editor of your choice,Vagrant,Virtual box.We may also install additional tool during some lectures.
This course is suitable for all system administrator who are willing to learn about load balancer and its applications.Even if you job requires you to work in cloud environment like AWS or Azure, you will gain solid understanding of LB and you could easily adjust your knowledge and apply it in those environments.
Content
11:25
13:46
Benefits of Load Balancer
06:26
23:03
24:54
Preparing Apache Server
12:07
08:59
Miscellaneous
10:05
LB Algorithms
24:39
Non-Default Part 1
15:36
Non-Default Part 2
12:28
SELinux
04:58
TCP Mode Part 1
08:26
TCP Mode Part 2
15:25
Stat Page
10:37
Logging Part 1
17:24
Logging Part 2
19:20
18:57
ACL Part 2
17:45
ACL Part 3
21:59
ACL Part 4
24:36
ACL Part 5
16:59
Lab Setup 1
21:48
Lab Setup 2
16:43
Lab Setup 3
14:44
Fixing DB Issue
19:07
Fixing Persistence
15:02
ACL Lab 1
23:16
ACL Lab 2
18:41
ACL Lab 3
24:02
Health Check
22:20
Health Check Lab
10:30
HAProxy API
18:53
KeepAliveD
25:37
VRRP
12:49
VRRP Deep Dive
16:27
SSL Termination
10:24
Generating Certificate
25:27
Finetune SSL
14:34
Setting Up CA
36:11
Enabling SSL for Express App
13:43
SSL Re-encryption
26:30
SSL Passthrough
04:32
Bringing Up the Environment
19:30
Walk-through of Ansible Code
22:36
Automated Testing
09:56
Example files : present
Video format : MP4
Video : AVC, 1280×720, 16:9, 30fps, ~1900kbps
Audio : AAC, 44.1kHz, 128kbps, stereo

⋆🕷- – – – -☽───⛧ ⤝❖⤞ ⛧───☾ – – – -🕷⋆

Udemy – Master Load Balancing with HAProxy (6.78 GB)
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May 21, 2026

Master Istio: Service Mesh & Kubernetes Strategies Training

Year of manufacture : 2024
Manufacturer : Udemy
Manufacturer’s website : Code:Copy to clipboard

https://www.udemy.com/course/master-istio-service-mesh-kubernetes-strategies-training

Author : Muhammad Muheeb
Duration : ~2h45m
Type of material distributed : Video lesson
Language : En
Описание: This course is not a replacement for the official materials you need for the certification exams. It is not endorsed by the certification vendor. You will not receive official study materials or an exam voucher as part of this course.
In this course, you’ll dive deep into Istio, a powerful service mesh designed to simplify and secure the management of microservices in modern cloud-native applications. The course begins by exploring what Istio is, why it’s essential for managing microservices, and the key components of its architecture, such as Pilot, Mixer, and Envoy, which work together to handle service discovery, traffic management, and security.
Istio is an open-source service mesh platform designed to simplify and manage the communication between microservices in distributed applications. It provides a way to control how services interact over the network, making it easier to manage complex microservice architectures.
Istio achieves these functions by deploying a sidecar proxy (using Envoy) alongside each service. The sidecar intercepts all network communication, enabling control over traffic without requiring any changes to the actual service code. This makes Istio a powerful tool for managing microservices at scale in cloud-native environments.
You’ll gain a solid understanding of how Istio identifies and tracks services within the mesh, manages traffic routing, and enforces security policies, all while providing observability through built-in features like metrics, tracing, and logging. The course also covers critical concepts like mutual TLS, role-based access control (RBAC), and authorization policies, which help secure service-to-service communication in an Istio environment.
Next, you’ll explore advanced topics such as traffic management in depth, focusing on Envoy Proxy, virtual services, destination rules, load balancing, and canary deployments using traffic splitting and mirroring. The course also delves into how Istio handles external traffic through gateways and ingress resources, giving you full control over the flow of requests into your microservices.
Additionally, the course addresses the management and configuration of Istio, covering essential configuration files, ConfigMaps, and custom resource definitions (CRDs). You’ll learn how to deploy and manage Istio across multiple clusters, inject sidecar proxies into pods, and apply circuit-breaking patterns to improve the reliability of your services.
Throughout the course, real-world use cases and best practices are emphasized, ensuring that you can confidently deploy and manage Istio in production environments.
Whether you’re looking to improve service reliability, enhance security, or streamline observability, this comprehensive course will equip you with the skills needed to fully harness the power of Istio in managing microservices at scale.
Content
04:01
The Need for Service Mesh
04:31
Istio Architecture Overview
05:06
Service Discovery in Istio
05:30
Traffic Management in Istio
06:49
06:52
Observability in Istio
06:28
Understanding Envoy Proxy
06:20
Virtual Services and Destination Rules
06:11
Load Balancing and Failovers
05:21
Traffic Splitting and Mirroring
06:41
Mutual TLS
06:51
Role-Based Access Control (RBAC)
06:45
Authentication Policies
06:24
Authorization Policies
06:27
Metrics Collection in Istio
08:29
Distributed Tracing in Istio
07:25
Log Aggregation and Access Logs
07:49
Istio Control Plane Overview
07:06
Understanding Istio Configurations
07:04
Istio Gateway and Ingress
07:37
Istio Service Mesh Across Multiple Clusters
08:58
Sidecar Proxy Injection
07:01
Circuit Breaking in Istio
06:05
Best Practices for Istio Deployment
07:56
Example files : not provided
Video format : MP4
Video : AVC, 1920×1080, 16:9, 30fps, ~1500kbps
Audio : AAC, 44.1kHz, 62.8kbps, stereo

⋆🕷- – – – -☽───⛧ ⤝❖⤞ ⛧───☾ – – – -🕷⋆

Udemy – Master Istio Service Mesh Kubernetes Strategies Training (2.25 GB)

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https://drop.download/otyc5hph5cec/Udemy.-.Master.Istio.Service.Mesh.Kubernetes.Strategies.Training.part1.rar
https://drop.download/2r14gdy1g3rg/Udemy.-.Master.Istio.Service.Mesh.Kubernetes.Strategies.Training.part2.rar

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https://rapidgator.net/file/2d85496378191b177cc3dec7d0de1a5b/Udemy.-.Master.Istio.Service.Mesh.Kubernetes.Strategies.Training.part1.rar
https://rapidgator.net/file/a5e2a686444bc73e82649d32e97752f9/Udemy.-.Master.Istio.Service.Mesh.Kubernetes.Strategies.Training.part2.rar

May 21, 2026

Master HTML for Modern Web Design: Front End Web Development

Master HTML for Modern Web Design: Front End Web Development
Published 1/2026
Duration: 3h 9m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 840.96 MB
Genre: eLearning | Language: English

Build Professional Websites Using HTML, Web Design Principles And Front End Web Development.

What you’ll learn

My First HTML Coding
Elements
Attributes
Headings
Paragraphs
Styles
Text Formatting
Quotation and Citation Elements
Comments
Colors (RGB, HEX, HSL)
Links (Different Links Colors, Create Bookmarks)
Images, Favicon and Page Title
Tables (Borders, Sizes, Headers, Padding & Spacing, Colspan & Rowspan, Styling, Colgroup)
Lists (Unordered Lists, Ordered Listsm, Other Lists)
Block and Inline Elements
Div Element
Class and ID Attribute
Iframes
Head Element
Layout Elements and Techniques
Responsive Web Design
Forms(Text Fields, Radio Buttons, Checkboxes, Submit Button) and more…

Requirements
– No prior coding experience is required. Everything is explained clearly and progressively.

Description
Welcome to Master HTML for Modern Web Design: Front End Web Development

HTMLis the foundation of the web and the first essential skill for anyone interested inWeb DesignandFront End Web Development. In this course, you’ll learn how to useHTMLto structure professional, accessible, and well-organized websites from scratch.

This course is designed for complete beginners as well as aspiring web designers and front end developers who want a strong, practical foundation. You’ll start with HTML basics and gradually move into real-world web design concepts, best practices, and modern front end workflows.

Rather than memorizing tags, you’ll understand how HTML works, why structure matters in web design, and how HTML connects withCSSand JavaScript infront end web development.

What You’ll Learn

HTML fundamentals: elements, tags, attributes, and structure

How to build clean, semantic HTML for modern web design

Page layout structure using headers, sections, articles, and footers

Forms, tables, images, links, and multimedia elements

Best practices for accessibility and SEO-friendly HTML

How HTML works with CSS and JavaScript in front end web development

Organizing files and building multi-page websites

Real-world workflows used by front end developers

Why This Course?

This course focuses on practical skills, not just theory. You’ll build real web pages while learning how professional web designers and front end developers structure their projects.

You’ll benefit from:

Clear, step-by-step explanations

Beginner-friendly lessons with real examples

Modern HTML standards and best practices

Hands-on exercises to reinforce learning

No prior coding experience is required. Everything is explained clearly and progressively.

By the End of This Course

You will be able to:

Create well-structured, professional HTML web pages

Understand core web design principles and layout structure

Build the foundation for front end web development

Confidently move on to CSS and JavaScript

If you want to start your journey in Web Design and Front End Web Development, mastering HTML is the perfect first step-and this course will guide you every step of the way.

Who this course is for:

Beginners who want to learn HTML from scratch.
Aspiring web designers and front end developers.
Students interested in web design fundamentals.
Freelancers who want to build or improve websites.

More Info

RapidGator
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https://rapidgator.net/file/2e704ac846ea65c5037873f7b11e0a13/Udemy.Master.HTML.for.Modern.Web.Design.Front.End.Web.Development.BOOKWAREBOOKTIME.part1.rar
https://rapidgator.net/file/9b300f714baaf03103feabcb6732a59c/Udemy.Master.HTML.for.Modern.Web.Design.Front.End.Web.Development.BOOKWAREBOOKTIME.part2.rar

DDownload
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https://ddownload.com/55m76zd6oau9/Udemy.Master.HTML.for.Modern.Web.Design.Front.End.Web.Development.BOOKWAREBOOKTIME.part2.rar

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UsersDrive
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https://usersdrive.com/pj07gdsjptt4/Udemy.Master.HTML.for.Modern.Web.Design.Front.End.Web.Development.BOOKWAREBOOKTIME.part2.rar