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30-12-2020, 04:28

A Complete Natural Language Processing Beginner Masterclass™

Category: Tutorials » Other

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | SRT | Size: 5.55 GB | Duration: 11h 25m
What you'll learn
Sentiment Analysis on Steam Video Game reviews.
Make your own product recommendation system.
Google Colab Cloud-Based Notebooks for using Python: to be up-to-date with what's being used in the Data Science world 2020!
Convert Speech To Text
Create a Fake News Detector with Deep Learning
Make Classifiers for Text Analysis.
Get comfortable using Python for NLP applications
Machine Learning for Language Applications
A good foundation in Linguistics to help learn NLP concepts.
Machine Learning Modelling Techniques
Deep Learning: Neural Networks, RNN, LSTM
Perform Speech Recognition
Create Chatbots
No previous programming knowledge necessary. The lectures slowly explain the python syntax as you code alone with me.
New to Python: you get explanations of the code as you code along with me but not only that - theory slides explain concepts to help you understand what's going on behind the code.
No data science knowledge required: lectures teach how to work with data and key modelling concepts.
No NLP knowledge required. Linguistic concepts are taught to give a strong foundation of NLP even before you get into practical coding. This helps you to grasp NLP modelling techniques and cleaning concepts better.
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.
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.
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
Part-of-Speech Tagging
The topics outlined below are taught using practical Python projects!
Text Classification & Sentiment Analysis
Unsupervised Sentiment Analysis
Topic Modelling
Word Embedding with Deep Learning Models
LSTM using TensorFlow, Keras Sequence Model
Speech Recognition
Convert Speech to Text
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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