| 01 - Introduction | |||
| 001 Introduction and Outline.mp4 | 72.97 MB | ||
| 001 Introduction and Outline_en.srt | 15.47 KB | ||
| 002 Where to get the Code.mp4 | 62.9 MB | ||
| 002 Where to get the Code_en.srt | 15.57 KB | ||
| 003 Are You Beginner, Intermediate, or Advanced All are OK!.mp4 | 26.66 MB | ||
| 003 Are You Beginner, Intermediate, or Advanced All are OK!_en.srt | 7.21 KB | ||
| external-assets-links.txt | 223 B | ||
| 02 - Vector Models and Text Preprocessing | |||
| 001 Vector Models & Text Preprocessing Intro.mp4 | 17.52 MB | ||
| 001 Vector Models & Text Preprocessing Intro_en.srt | 4.99 KB | ||
| 002 Basic Definitions for NLP.mp4 | 28.36 MB | ||
| 002 Basic Definitions for NLP_en.srt | 6.66 KB | ||
| 003 What is a Vector.mp4 | 48.93 MB | ||
| 003 What is a Vector_en.srt | 14.85 KB | ||
| 004 Bag of Words.mp4 | 13.85 MB | ||
| 004 Bag of Words_en.srt | 3.16 KB | ||
| 005 Count Vectorizer (Theory).mp4 | 57.43 MB | ||
| 005 Count Vectorizer (Theory)_en.srt | 19.19 KB | ||
| 006 Tokenization.mp4 | 73.51 MB | ||
| 006 Tokenization_en.srt | 19.84 KB | ||
| 007 Stopwords.mp4 | 13.1 MB | ||
| 007 Stopwords_en.srt | 6.22 KB | ||
| 008 Stemming and Lemmatization.mp4 | 57.92 MB | ||
| 008 Stemming and Lemmatization_en.srt | 15.82 KB | ||
| 009 Stemming and Lemmatization Demo.mp4 | 74.84 MB | ||
| 009 Stemming and Lemmatization Demo_en.srt | 13.9 KB | ||
| 010 Count Vectorizer (Code).mp4 | 101.98 MB | ||
| 010 Count Vectorizer (Code)_en.srt | 19.13 KB | ||
| 011 Vector Similarity.mp4 | 45.11 MB | ||
| 011 Vector Similarity_en.srt | 15.16 KB | ||
| 012 TF-IDF (Theory).mp4 | 58.57 MB | ||
| 012 TF-IDF (Theory)_en.srt | 18.27 KB | ||
| 013 (Interactive) Recommender Exercise Prompt.mp4 | 13.38 MB | ||
| 013 (Interactive) Recommender Exercise Prompt_en.srt | 3.21 KB | ||
| 014 TF-IDF (Code).mp4 | 124.92 MB | ||
| 014 TF-IDF (Code)_en.srt | 24.8 KB | ||
| 015 Word-to-Index Mapping.mp4 | 47.58 MB | ||
| 015 Word-to-Index Mapping_en.srt | 14.8 KB | ||
| 016 How to Build TF-IDF From Scratch.mp4 | 79.79 MB | ||
| 016 How to Build TF-IDF From Scratch_en.srt | 18.56 KB | ||
| 017 Neural Word Embeddings.mp4 | 45.54 MB | ||
| 017 Neural Word Embeddings_en.srt | 13.48 KB | ||
| 018 Neural Word Embeddings Demo.mp4 | 66.84 MB | ||
| 018 Neural Word Embeddings Demo_en.srt | 12.74 KB | ||
| 019 Vector Models & Text Preprocessing Summary.mp4 | 20.85 MB | ||
| 019 Vector Models & Text Preprocessing Summary_en.srt | 4.8 KB | ||
| Download Paid Udemy Courses For Free.url | 116 B | ||
| GetFreeCourses.Co.url | 116 B | ||
| How you can help GetFreeCourses.Co.txt | 182 B | ||
| 03 - Probabilistic Models (Introduction) | |||
| 001 Probabilistic Models (Introduction).mp4 | 26.91 MB | ||
| 001 Probabilistic Models (Introduction)_en.srt | 6.28 KB | ||
| 04 - Markov Models (Intermediate) | |||
| 001 Markov Models Section Introduction.mp4 | 13.09 MB | ||
| 001 Markov Models Section Introduction_en.srt | 3.46 KB | ||
| 002 The Markov Property.mp4 | 32.25 MB | ||
| 002 The Markov Property_en.srt | 9.45 KB | ||
| 003 The Markov Model.mp4 | 45.32 MB | ||
| 003 The Markov Model_en.srt | 16.02 KB | ||
| 004 Probability Smoothing and Log-Probabilities.mp4 | 32.87 MB | ||
| 004 Probability Smoothing and Log-Probabilities_en.srt | 10.28 KB | ||
| 005 Building a Text Classifier (Theory).mp4 | 28.92 MB | ||
| 005 Building a Text Classifier (Theory)_en.srt | 9.45 KB | ||
| 006 Building a Text Classifier (Exercise Prompt).mp4 | 16.11 MB | ||
| 006 Building a Text Classifier (Exercise Prompt)_en.srt | 8.81 KB | ||
| 007 Building a Text Classifier (Code pt 1).mp4 | 57.68 MB | ||
| 007 Building a Text Classifier (Code pt 1)_en.srt | 11.82 KB | ||
| 008 Building a Text Classifier (Code pt 2).mp4 | 72.22 MB | ||
| 008 Building a Text Classifier (Code pt 2)_en.srt | 13.81 KB | ||
| 009 Language Model (Theory).mp4 | 44.96 MB | ||
| 009 Language Model (Theory)_en.srt | 13.29 KB | ||
| 010 Language Model (Exercise Prompt).mp4 | 28.8 MB | ||
| 010 Language Model (Exercise Prompt)_en.srt | 8.99 KB | ||
| 011 Language Model (Code pt 1).mp4 | 62.83 MB | ||
| 011 Language Model (Code pt 1)_en.srt | 13.16 KB | ||
| 012 Language Model (Code pt 2).mp4 | 52.43 MB | ||
| 012 Language Model (Code pt 2)_en.srt | 11.3 KB | ||
| 013 Markov Models Section Summary.mp4 | 15.56 MB | ||
| 013 Markov Models Section Summary_en.srt | 3.96 KB | ||
| 05 - Article Spinner (Intermediate) | |||
| 001 Article Spinning - Problem Description.mp4 | 41.92 MB | ||
| 001 Article Spinning - Problem Description_en.srt | 10.78 KB | ||
| 002 Article Spinning - N-Gram Approach.mp4 | 15.92 MB | ||
| 002 Article Spinning - N-Gram Approach_en.srt | 5.22 KB | ||
| 003 Article Spinner Exercise Prompt.mp4 | 24.62 MB | ||
| 003 Article Spinner Exercise Prompt_en.srt | 7.58 KB | ||
| 004 Article Spinner in Python (pt 1).mp4 | 95.89 MB | ||
| 004 Article Spinner in Python (pt 1)_en.srt | 20.68 KB | ||
| 005 Article Spinner in Python (pt 2).mp4 | 75.37 MB | ||
| 005 Article Spinner in Python (pt 2)_en.srt | 12.41 KB | ||
| 006 Case Study Article Spinning Gone Wrong.mp4 | 28.23 MB | ||
| 006 Case Study Article Spinning Gone Wrong_en.srt | 7.56 KB | ||
| 06 - Cipher Decryption (Advanced) | |||
| 001 Section Introduction.mp4 | 26.32 MB | ||
| 001 Section Introduction_en.srt | 6.67 KB | ||
| 002 Ciphers.mp4 | 17.21 MB | ||
| 002 Ciphers_en.srt | 4.8 KB | ||
| 003 Language Models (Review).mp4 | 65.53 MB | ||
| 003 Language Models (Review)_en.srt | 20.51 KB | ||
| 004 Genetic Algorithms.mp4 | 105.16 MB | ||
| 004 Genetic Algorithms_en.srt | 29.21 KB | ||
| 005 Code Preparation.mp4 | 20.63 MB | ||
| 005 Code Preparation_en.srt | 6.74 KB | ||
| 006 Code pt 1.mp4 | 15.98 MB | ||
| 006 Code pt 1_en.srt | 4.14 KB | ||
| 007 Code pt 2.mp4 | 39.13 MB | ||
| 007 Code pt 2_en.srt | 9.27 KB | ||
| 008 Code pt 3.mp4 | 29.54 MB | ||
| 008 Code pt 3_en.srt | 6.15 KB | ||
| 009 Code pt 4.mp4 | 25.62 MB | ||
| 009 Code pt 4_en.srt | 4.84 KB | ||
| 010 Code pt 5.mp4 | 40.96 MB | ||
| 010 Code pt 5_en.srt | 8.82 KB | ||
| 011 Code pt 6.mp4 | 13.31 MB | ||
| 011 Code pt 6_en.srt | 7.24 KB | ||
| 012 Section Conclusion.mp4 | 24.24 MB | ||
| 012 Section Conclusion_en.srt | 8.3 KB | ||
| 07 - Machine Learning Models (Introduction) | |||
| 001 Machine Learning Models (Introduction).mp4 | 23.36 MB | ||
| 001 Machine Learning Models (Introduction)_en.srt | 6.22 KB | ||
| Download Paid Udemy Courses For Free.url | 116 B | ||
| GetFreeCourses.Co.url | 116 B | ||
| How you can help GetFreeCourses.Co.txt | 182 B | ||
| 08 - Spam Detection | |||
| 001 Spam Detection - Problem Description.mp4 | 31.33 MB | ||
| 001 Spam Detection - Problem Description_en.srt | 8.72 KB | ||
| 002 Naive Bayes Intuition.mp4 | 51.33 MB | ||
| 002 Naive Bayes Intuition_en.srt | 15.22 KB | ||
| 003 Spam Detection - Exercise Prompt.mp4 | 8.73 MB | ||
| 003 Spam Detection - Exercise Prompt_en.srt | 2.63 KB | ||
| 004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 | 60.21 MB | ||
| 004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1)_en.srt | 16.78 KB | ||
| 005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 | 27.32 MB | ||
| 005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2)_en.srt | 14.46 KB | ||
| 006 Spam Detection in Python.mp4 | 107.6 MB | ||
| 006 Spam Detection in Python_en.srt | 19.27 KB | ||
| 09 - Sentiment Analysis | |||
| 001 Sentiment Analysis - Problem Description.mp4 | 42.7 MB | ||
| 001 Sentiment Analysis - Problem Description_en.srt | 9.85 KB | ||
| 002 Logistic Regression Intuition (pt 1).mp4 | 63.57 MB | ||
| 002 Logistic Regression Intuition (pt 1)_en.srt | 22.53 KB | ||
| 003 Multiclass Logistic Regression (pt 2).mp4 | 23.61 MB | ||
| 003 Multiclass Logistic Regression (pt 2)_en.srt | 8.46 KB | ||
| 004 Logistic Regression Training and Interpretation (pt 3).mp4 | 39.63 MB | ||
| 004 Logistic Regression Training and Interpretation (pt 3)_en.srt | 10.83 KB | ||
| 005 Sentiment Analysis - Exercise Prompt.mp4 | 16.55 MB | ||
| 005 Sentiment Analysis - Exercise Prompt_en.srt | 5.09 KB | ||
| 006 Sentiment Analysis in Python (pt 1).mp4 | 24.83 MB | ||
| 006 Sentiment Analysis in Python (pt 1)_en.srt | 11.63 KB | ||
| 007 Sentiment Analysis in Python (pt 2).mp4 | 51.96 MB | ||
| 007 Sentiment Analysis in Python (pt 2)_en.srt | 9.74 KB | ||
| 10 - Extras | |||
| 001 Colab Notebooks.html | 572 B | ||
| Download Paid Udemy Courses For Free.url | 116 B | ||
| GetFreeCourses.Co.url | 116 B | ||
| How you can help GetFreeCourses.Co.txt | 182 B |
Machine Learning: Natural Language Processing in Python (V2)
NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python
Udemy Link - https://www.udemy.com/course/natural-language-processing-in-python/
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