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Natural Language Processing Transformers with Hugging Face


Natural Language Processing – Transformers with Hugging Face
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 4 Hour | 908 MB
Genre: eLearning | Language: English​

This course begins with a warm welcome and an overview of the curriculum, setting the stage for an exciting journey into the world of Natural Language Processing (NLP). The initial section ensures you are well-prepared, guiding you on how to access the necessary code and providing tips for succeeding in the course.

We delve deep into the realm of Transformers, starting from the basics of Recurrent Neural Networks (RNNs) and advancing to the attention mechanisms that power modern NLP models. The course covers a wide range of practical applications, including sentiment analysis, text generation, embeddings, semantic search, and named entity recognition. Each concept is paired with hands-on Python tutorials, enabling you to implement these techniques in real-world scenarios.

By the end of this course, you will have a solid understanding of various NLP tasks and how to approach them using Hugging Face’s powerful library. Whether you are analyzing sentiment, summarizing text, or translating languages, this course equips you with the skills to tackle these challenges efficiently. The comprehensive coverage ensures you gain both theoretical knowledge and practical experience, making you proficient in applying Transformers to solve complex NLP problems.
What you will learn

Understand the principles of RNNs and Attention mechanisms
Implement sentiment analysis and text generation in Python
Apply embeddings and semantic search techniques
Develop masked language models and NER systems
Create text summarization and neural machine translation models
Utilize zero-shot classification for advanced NLP tasks


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Natural Language Processing Fundamentals Techniques, Tools, and Applications


1.04 GB | 18min 22s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English​
Files Included :
FileName :001 Course Introduction.mp4 | Size: (28.81 MB)
FileName :001 Lesson 1 1 What is Linguistics.mp4 | Size: (47.25 MB)
FileName :002 Lesson 1 2 What is Natural Language Processing.mp4 | Size: (46.48 MB)
FileName :003 Lesson 1 3 Major Platforms and Packages Used in this Course.mp4 | Size: (50.28 MB)
FileName :001 Lesson 2 1 Preprocessing Techniques.mp4 | Size: (59.79 MB)
FileName :002 Lesson 2 2 Feature Engineering Techniques.mp4 | Size: (67.24 MB)
FileName :003 Lesson 2 3 Use Case Who Wrote it Authorship Attribution with Heuristic NLP.mp4 | Size: (124.01 MB)
FileName :001 Lesson 3 1 Probabilistic Models.mp4 | Size: (73.95 MB)
FileName :002 Lesson 3 2 Introduction to Neural Networks in NLP.mp4 | Size: (57.59 MB)
FileName :003 Lesson 3 3 Use Case Text Classification with Naive Bayes.mp4 | Size: (58.14 MB)
FileName :001 Lesson 4 1 Attention Mechanism and Transformers.mp4 | Size: (45.2 MB)
FileName :002 Lesson 4 2 Task-Specific Transformer Models and Fine-Tuning.mp4 | Size: (55.17 MB)
FileName :003 Lesson 4 3 Large Language Models (LLMs).mp4 | Size: (60.96 MB)
FileName :004 Lesson 4 4 Use Case Fine-tuning a Sentiment Analysis Classifier with DistilBERT.mp4 | Size: (110.2 MB)
FileName :001 Lesson 5 1 Ethical Considerations.mp4 | Size: (41.44 MB)
FileName :002 Lesson 5 2 MLOps and LLMOps.mp4 | Size: (43.9 MB)
FileName :003 Lesson 5 3 Use Case Build Your Own Retrieval-Augmented Generation (RAG) System.mp4 | Size: (81.74 MB)
FileName :004 Lesson 5 4 Course Closing.mp4 | Size: (14.94 MB)]
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Natural Language Processing – Transformers with Hugging Face


Natural Language Processing – Transformers with Hugging Face
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 4 Hour | 908 MB
Genre: eLearning | Language: English​

This course begins with a warm welcome and an overview of the curriculum, setting the stage for an exciting journey into the world of Natural Language Processing (NLP). The initial section ensures you are well-prepared, guiding you on how to access the necessary code and providing tips for succeeding in the course.

We delve deep into the realm of Transformers, starting from the basics of Recurrent Neural Networks (RNNs) and advancing to the attention mechanisms that power modern NLP models. The course covers a wide range of practical applications, including sentiment analysis, text generation, embeddings, semantic search, and named entity recognition. Each concept is paired with hands-on Python tutorials, enabling you to implement these techniques in real-world scenarios.

By the end of this course, you will have a solid understanding of various NLP tasks and how to approach them using Hugging Face’s powerful library. Whether you are analyzing sentiment, summarizing text, or translating languages, this course equips you with the skills to tackle these challenges efficiently. The comprehensive coverage ensures you gain both theoretical knowledge and practical experience, making you proficient in applying Transformers to solve complex NLP problems.
What you will learn

Understand the principles of RNNs and Attention mechanisms
Implement sentiment analysis and text generation in Python
Apply embeddings and semantic search techniques
Develop masked language models and NER systems
Create text summarization and neural machine translation models
Utilize zero-shot classification for advanced NLP tasks

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Natural Language Processing – Probability Models in Python


Natural Language Processing – Probability Models in Python
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 5H 11M | 1.04 GB
Genre: eLearning | Language: English​

Beginning with an introduction and course outline, students are offered a special offer to kickstart their learning journey in this course. Initial sections guide you through the setup process and provide the necessary code resources. The course emphasizes strategies for success, ensuring learners are well-prepared from the start.

The course delves into spam detection, beginning with a problem description and intuition behind Naive Bayes. Participants engage in exercises and learn to address class imbalance while evaluating models using ROC, AUC, and F1 scores. Practical implementation in Python solidifies understanding. Following this, the course transitions to sentiment analysis, covering problem description, logistic regression, and training. Exercises and Python-based projects enable learners to apply concepts effectively.

Text summarization is thoroughly explored with sections on vector-based methods and TextRank, from basic to advanced levels. Practical Python sessions ensure learners can implement these techniques. The course culminates with topic modeling, introducing LDA and NMF methods, complemented by Python coding exercises. A deep dive into Latent Semantic Analysis and applying SVD in NLP wraps up the curriculum, ensuring a well-rounded expertise in NLP.
What you will learn

Identify and implement spam detection algorithms
Conduct sentiment analysis using logistic regression
Perform text summarization using various methods
Apply advanced techniques like TextRank for summarization
Understand and implement topic modeling with LDA and NMF
Utilize Latent Semantic Analysis in Python projects

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Natural Language Processing – Deep Learning Models in Python


Natural Language Processing – Deep Learning Models in Python
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 6.5H | 989 MB
Genre: eLearning | Language: English​

Embark on a journey into Natural Language Processing (NLP) with a focus on deep learning models using Python. The course starts with an introduction to neurons, explaining how they form the basic building blocks of neural networks. You will learn to fit lines and prepare classification codes, culminating in practical text classification tasks using TensorFlow.

Progressing to Feedforward Artificial Neural Networks (ANNs), you will delve into forward propagation, activation functions, and multiclass classification. The course includes extensive code preparation for text classification in TensorFlow, covering text preprocessing, embeddings, and advanced techniques like Continuous Bag of Words (CBOW). This section ensures you understand the geometrical aspects and hyperparameter tuning.

The course then explores Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), crucial for advanced NLP tasks. You will learn the intricacies of convolutions, CNN architecture, and their application to text. The RNN section covers simple RNNs, GRUs, and LSTMs, with hands-on exercises in text classification, parts-of-speech tagging, and named entity recognition in TensorFlow. Each section is designed to build your skills progressively, ensuring a deep understanding of both theoretical concepts and practical applications.
What you will learn

Develop a solid understanding of neural networks and their applications in NLP.
Implement text classification models using TensorFlow.
Master advanced NLP techniques like embeddings and named entity recognition.
Apply convolutional and recurrent neural networks to real-world NLP tasks.
Optimize model performance through effective hyperparameter tuning.
Advanced techniques like CBOW and hyperparameter tuning.

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Natural Language Processing & Deep Learning: Zero to Hero


Natural Language Processing & Deep Learning: Zero to Hero
Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | VTT | Size: 8.43 GB | Duration: 15h 29m​

Linguistics & Machine Learning: Grammar Syntax, Sentiment, ScrapeTweets, RNN/LSTM,Chatbot, SQuAD, Summary, Audio To Text

What you’ll learn
Libraries: Tensorflow, Pytorch, NLTK, SpaCy, Sci-kit Learn, Twint
Linguistics Foundation To Help Learn NLP Concepts
Deep Learning: Neural Networks, RNN, LSTM Theory & Practical Projects
Machine Reading Comprehension: Create A Question Answering System with SQuAD
No Tedious Anaconda or Jupyter Installs: Use Modern Google Colab Cloud-Based Notebooks for using Python
How To Build Generative AI Chatbots
Create A Netflix Recommendation System With Word2Vec
Perform Sentiment Analysis on Steam Game Reviews
Convert Speech To Text
Machine Learning Modelling Techniques
Markov Property – Theory & Practical
Optional Python For Beginners Section
Cosine-Similarity & Vectors
Word Embeddings: My Favourite Topic Taught In Depth
Scrape Unlimited Tweets Using An Open Source Intelligence Tool
Speech Recognition
LSTM Fake News Detector
Context-Free Grammar Syntax
Scrape Wikipedia & Create An Article Summarizer

Description
This course takes you from a beginner level to being able to understand NLP concepts, linguistic theory, and then practice these basic theories using Python – with very simple examples as you code along with me.

Get experience doing a full real-world workflow from Collecting your own Data to NLP Sentiment Analysis using Big Datasets of over 50,000 Tweets.

Data collection: Scrape Twitter using: OSINT – Open Source Intelligence Tools: Gather text data using real-world techniques. In the real world, in many instances you would have to create your own data set; i.e source your data instead of downloading a clean, ready-made file online

Use Python to search relevant tweets for your study and NLP to analyze sentiment.

Language Syntax: Most NLP courses ignore the core domain of Linguistics. This course explains the fundamentals of Language Syntax & Parse trees – the foundation of how a machine can interpret the structure of s sentence.

New to Python: If you are new to Python or any computer programming, the course instructions make it easy for you to code together with me. I explain code line by line.

No Installs, we go straight to coding – Code using Google Colab – to be up-to-date with what’s being used in the Data Science world 2021!

The gentle pace takes you gradually from these basics of NLP foundation to being able to understand Mathematical & Linguistic (English-Language-based, Non-Mathematical) theories of Deep Learning.

Natural Language Processing Foundation

Linguistics & Semantics – study the background theory on natural language to better understand the Computer Science applications

Pre-processing Data (cleaning)

Regex, Tokenization, Stemming, Lemmatization

Name Entity Recognition (NER)

Part-of-Speech Tagging

Libraries:

NLTK

Sci-kit Learn

Tensorflow

Pytorch

SpaCy

DeepPavlov

Twint

The topics outlined below are taught using practical Python projects!

Parse Tree

Markov Chain

Text Classification & Sentiment Analysis

Company Name Generator

Unsupervised Sentiment Analysis

Topic Modelling

Word Embedding with Deep Learning Models

Open Domain Question Answering (like asking Google)

Closed Domain Question Answering (Like asking a Restaurant-Finder bot)

LSTM using TensorFlow, Keras Sequence Model

Speech Recognition

Convert Speech to Text

Neural Networks

This is taught from first principles – comparing Biological Neurons in the Human Brain to Artificial Neurons.

Practical project: Sentiment Analysis of Steam Reviews

Word Embedding: This topic is covered in detail, similar to an undergraduate course structure that includes the theory & practical examples of:

TF-IDF

Word2Vec

One Hot Encoding

gloVe

Deep Learning

Recurrent Neural Networks

LSTMs

Get introduced to Long short-term memory and the recurrent neural network architecture used in the field of deep learning.

Build models using LSTMs

Who this course is for:
Anyone who is curious about data science & NLP
Those who are in the Business & Marketing world – learn use NLP to gain insight into customers & products. Can help at interviews & job promotions.
If you intend to enrol in an NLP/Data Science course but are a total newbie, complete this course before to avoid being lost in class since it can seem overwhelming if classmates already have a foundation in Python or Datascience.


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n8n + AI for Beginners – Business Automation Essentials


1.23 GB | 15min 32s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English​
Files Included :
FileName :001 What is n8n.mp4 | Size: (3.39 MB)
FileName :002 What can you do with it.mp4 | Size: (8.37 MB)
FileName :003 What’s with the name.mp4 | Size: (1.56 MB)
FileName :004 n8n’s – Origins.mp4 | Size: (3.88 MB)
FileName :005 What n8n is GOOD at.mp4 | Size: (9.63 MB)
FileName :006 What n8n is NOT good at.mp4 | Size: (14.72 MB)
FileName :007 n8n Plans and Prices.mp4 | Size: (16.3 MB)
FileName :008 Community Edition – The sustainable use licence.mp4 | Size: (13.05 MB)
FileName :009 Community Edition – What features are free.mp4 | Size: (22.82 MB)
FileName :010 Hosting Choices – Cloud vs Local vs VPS.mp4 | Size: (15.21 MB)
FileName :001 Exploring the interface and understanding the main features.mp4 | Size: (28.47 MB)
FileName :002 Setting up an n8n account.mp4 | Size: (5.66 MB)
FileName :003 Navigating in the workflow editor.mp4 | Size: (48.13 MB)
FileName :004 Quick first workflow – Part1 – Calling an API using HTTP request.mp4 | Size: (20.25 MB)
FileName :005 Quick first workflow – Part 2 – Setting up Telegram and getting a chat ID.mp4 | Size: (31.47 MB)
FileName :006 The workflow editor, executions, logs, evaluations, and workflow history.mp4 | Size: (24.19 MB)
FileName :007 The n8n template library (and it’s issues).mp4 | Size: (14.96 MB)
FileName :008 Importing, exporting workflows, copying and pasting workflow nodes.mp4 | Size: (19.25 MB)
FileName :001 Why Docker.mp4 | Size: (16.57 MB)
FileName :002 A quick tour of Docker and it’s features.mp4 | Size: (27.1 MB)
FileName :003 Docker pre-requisites.mp4 | Size: (18.82 MB)
FileName :004 Installing Docker desktop (Windows).mp4 | Size: (17.94 MB)
FileName :005 Installing and setting up n8n on Docker.mp4 | Size: (14.68 MB)
FileName :006 Updating your n8n Docker image.mp4 | Size: (11.02 MB)
FileName :001 Walkthrough setup for a budget $mo VPS.mp4 | Size: (63.19 MB)
FileName :002 Creating ssh aliases to make connecting to your VPS easy.mp4 | Size: (7.75 MB)
FileName :003 Updating your n8n Docker image VPS.mp4 | Size: (4.92 MB)
FileName :004 Using PowerShell functions to make server monitoring and updates a breeze.mp4 | Size: (23.31 MB)
FileName :005 Fixing our config by setting n8n environment variables using compose.mp4 | Size: (41.04 MB)
FileName :001 Setting and storing important credentials (API keys, passwords etc).mp4 | Size: (23.35 MB)
FileName :002 Triggers & production development workflows (add a trigger – schedule gmail).mp4 | Size: (30.96 MB)
FileName :003 Basic concepts – node input and output (Schema, Table & JSON Views).mp4 | Size: (37.39 MB)
FileName :004 How n8n handles data, understanding a little JSON is never a bad thing.mp4 | Size: (9.71 MB)
FileName :005 Using CODE or EDIT nodes to make data easier to work with.mp4 | Size: (31.63 MB)
FileName :006 Using expressions to turn input data into AI prompts.mp4 | Size: (24.98 MB)
FileName :007 How many times does a node execute (It depends).mp4 | Size: (15.39 MB)
FileName :008 Pinning mock data whilst testing.mp4 | Size: (19.25 MB)
FileName :009 Getting at data from earlier in the workflow (node-links) and how that can fail.mp4 | Size: (33.39 MB)
FileName :010 The order of execution (what happens when 2 paths leave one node).mp4 | Size: (40.16 MB)
FileName :011 Workflow executions, partial executions, dirty and deactivated nodes.mp4 | Size: (37.19 MB)
FileName :012 Expanding our workflow to create labels, (deduplication and dataset comparison).mp4 | Size: (42.09 MB)
FileName :013 Applying labels to emails and using sticky notes to visually define our workflow.mp4 | Size: (49.4 MB)
FileName :001 Agentic AI – What are agents Re-creating our workflow the agentic way.mp4 | Size: (19.32 MB)
FileName :002 Agentic AI – Setting up tools and allowing the agent to set parameters.mp4 | Size: (19.91 MB)
FileName :003 Agentic AI – Giving detailed step-by-step instructions to our agent.mp4 | Size: (24.39 MB)
FileName :004 Agentic AI vs Classic messaging – Comparing token usage.mp4 | Size: (26.75 MB)
FileName :001 Workflow settings and what they do, storing execution progress.mp4 | Size: (15.54 MB)
FileName :002 Using sub-workflows to simplify larger workflows.mp4 | Size: (26.79 MB)
FileName :003 Creating and using an error handler workflow.mp4 | Size: (39.59 MB)
FileName :004 3 ways to handle errors.mp4 | Size: (13.05 MB)
FileName :005 Retrying API requests and a simple and exponential backoff and retry template.mp4 | Size: (16.41 MB)
FileName :001 Looping and batching (to avoid API rate limits and throttling).mp4 | Size: (12.79 MB)
FileName :002 Understanding branching in loops and fixing double counted items with Merge.mp4 | Size: (59.61 MB)
FileName :003 Updating our Inbox manager to throttle requests and handle errors.mp4 | Size: (12.89 MB)
FileName :001 Evaluations – Why you should use them and how to evaluate different AI models.mp4 | Size: (15.56 MB)
FileName :002 Evaluations – adding quality metrics.mp4 | Size: (13.94 MB)]
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MYOB AccountRight Basic to Pro Training Course


Free Download MYOB AccountRight Basic to Pro Training Course
Last updated 12/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.23 GB | Duration: 4h 6m
MYOB Accounting Basic to Advance Course Complete Training Which Includes Bookeeping, VAT Management ,Payroll

What you’ll learn
Software Installation and Setup: How to install MYOB on their PC, create new companies, and configure settings for trading and manufacturing businesses
Managing Accounts and Balances: Creating and editing the Chart of Accounts, entering and reconciling opening balances, and recording journal entries
Handling Transactions: Recording Various transactions, Including Purchase and Sales invoices, Cash sales, Customer advances, Purchase orders & Handling bad debt
Setting up and entering inventory items and opening balances, and managing raw materials and finished goods for manufacturing companies
Recording customer payments, paying vendor invoices, and dealing with petty cash, bank transactions, and loan payments
Extracting trial balance and closing reports, passing adjusting journal entries, and finalizing monthly accrued expenses
Requirements
Basic computer literacy and familiarity with accounting principles.
Ability to install software and follow setup instructions.
A desire to learn and apply practical accounting tasks using MYOB software.
Description
The MYOB Computerized Accounting Software course focuses on using MYOB based on the most popular features that you, as an MYOB operator, must specialize in using the software.MYOB Stands for "mind your own business"You will learn how to set up the MYOB system from the start, enter opening balances, issue invoices and credit notes for customers, issue invoices for suppliers and credit records, pay suppliers, cash, make VAT refunds, Bank Reconciliation, Journal Post, make reports and print them and other useful features.This is a useful course if:your want to do Accounting on softwareYou work for jobs where you need to use this softwareYou want to include this skill on your resume, orYou are a bookkeeper or an accountant and will use this for clients or You run your own company and want to know how you can use MYOB for yourself.What People Say About Accountech Training & Solutions Courses:Sageline 50 course review"Yes, course is exactly what was looking for. I would like to see journal entries for car depreciation, purchase of cars etc… Plus after doing first year accounts, how to do roll over for next year. Learned quite a few short cuts. Thanks." – Meera Patel"Easy to follow, feels like a Pro already" – Kath Munyua"This is a very Amazing course in Excel. In this course you learn how to use excel basic to advance program, formulas, etc. this is very helpful for beginners." AhsanpervaizAdvance Excel Course Reviews"Thanks ,You for everything.I have thoroughly enjoyed this course. The course is great and the concepts are easy to understand" – Qudsia Ali Manzar"its just an amazing course for all the people who want to be an Excel expert in their offices. I have learnt so many new things and i will help my staff with my knowledge and I will definitely recommend this to many others. Thank you for bringing a lot of changes in my life. love this. Lock-down helped me a lot to learn this faster. Now i want the lock down to be lifted at the earliest to go to my office with this new learning experience." Asif M PathanTally ERP Course Reviews"It’s a fantastic course for grasping the knowledge of Tally software from scratch. It helped me a lot in building my foundation knowledge as well as other blocks level. Everything is perfect. Thank you !!!!! "- Devraj Raghuwanshi"YES IT IS GOOD AND BEST TO UNDERSTAND AS THE EXPLANATION IS BEST…THANKS I ENJOYED" – Nitin P. ShahXero Cloud Accounting Course Reviews"Great teaching, learned a lot, thanks. " – Ewa Schreiber" i understand the course so far. very well explained "- MonicaMicrosoft Word Course Reviews"Very useful, especially for creating professional documents. Loved how each and every step was explained." – Manisha Sharma"Great Content love the way he is explaining it." – AmitExcel Business and Financial Modeling Course Review" Best course to go for……..if you really want a zero to advance level course. everything was explained soo nicely that i got all the things in one go. Thank You. "- Ratnesh"This course is highly recommended for anyone who wants to learn excel from the very basics to the most advanced level. The instructor has a very strong grip and deep experience about MS excel. It was a wonderful experience and that God that I have life time access to this course. I will surely keep watching the videos again and again and practice more and more to make my learning more useful for me in my job. Thank you Sir Saad "- Ziyad Khan
Bookkeepers and Accountants who will be using this for their clients,Those who have studied accounting, but want practical knowledge of how to use a popular accounting software which will help them find employment,Accountant, Junior Accountant, Tax, Business Owner
Homepage
Code:Copy to clipboard

https://www.udemy.com/course/myob-accounting-course-2020/


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DDownload
https://ddownload.com/e6brdwqzprd9/ixbqq.MYOB.AccountRight.Basic.to.Pro.Training.Course.part3.rar
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https://ddownload.com/v095p60janlt/ixbqq.MYOB.AccountRight.Basic.to.Pro.Training.Course.part2.rar
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No Password – Links are Interchangeable

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A League of Their Own 1992 1080p BluRay DDP7 1 x264-c0kE

A League of Their Own (1992) 7.4 (126,573 Votes)
Runtime: 2h 8m

Genre: Comedy, Drama, Sport

Cast: Tom Hanks, Geena Davis, Lori Petty

Plot: During World War II, sisters Dottie and Kit join the first female professional baseball league and struggle to help it succeed amid their own growing rivalry.


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http://www.imdb.com/title/tt0104694

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Rate: 7.3 from 123193 Users

Genre: Comedy,Drama,Sport

Runtime: 128

Language: English

Country: United States

Plot: Two sisters join the first female professional baseball league and struggle to help it succeed amidst their own growing rivalry.

A League of Their Own 1992 1080p BluRay DDP7 1 x264-c0kE
Code:Copy to clipboard



Size: 19.86 GB

Video:

Format : AVC

Bit rate : 19901443

Width : 1920

Height : 804

Frame rate : 23.976

Audio:

Format : AC-3

Bit rate : 1536000

Channels : 8

Sampling rate : 48000

Compression mode : Lossy

Language : English


Rapidgator:
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Posted on

Music Theory for Electronic Producers The Complete Course


Music Theory for Electronic Producers – The Complete Course
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: | 2.78 GB
Genre: eLearning | Language: English​

Join Successful students in Music Theory for Electronic Producers for Creating, Arranging and Analysing Music Theory

Learning how to write and create music effectively will dramatically improve the quality of your music and the speed you create it.

In this course, you will gain a deep understanding of Music Theory and ideas techniques and formulas to use when creating your own electronic music to allow you more options. You’ll learn the beauty and the power of music theory that’s used by professionals today.

This course will cover such topics as major scales, minor scales, major chords, minor chords, diminished chords, chord progressions, modulation, relative majors, relative minors, modes, song analyse, deconstructed several tracks, writing a song from a drum beat, how to write a song from a chord progression, how to write a song from a melody, how to write melodies, how to write harmonies, how to work out keys and scales, pentatonic scales, and more.

What you’ll learn in this course will make you a better music producer, and improve your songwriting abilities in any Digital Audio Workstations!

Learn to love music theory and creating electronic music with these easy to learn techniques!


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