GetFreeCourses.Co-Udemy-Machine Learning Natural Language Processing in Python (V2)
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- 02 - Vector Models and Text Preprocessing/014 TF-IDF (Code).mp4 124.9 MB
- 08 - Spam Detection/006 Spam Detection in Python.mp4 107.6 MB
- 06 - Cipher Decryption (Advanced)/004 Genetic Algorithms.mp4 105.2 MB
- 02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code).mp4 102.0 MB
- 05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1).mp4 95.9 MB
- 02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch.mp4 79.8 MB
- 05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2).mp4 75.4 MB
- 02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo.mp4 74.8 MB
- 02 - Vector Models and Text Preprocessing/006 Tokenization.mp4 73.5 MB
- 01 - Introduction/001 Introduction and Outline.mp4 73.0 MB
- 04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2).mp4 72.2 MB
- 02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo.mp4 66.8 MB
- 06 - Cipher Decryption (Advanced)/003 Language Models (Review).mp4 65.5 MB
- 09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1).mp4 63.6 MB
- 01 - Introduction/002 Where to get the Code.mp4 62.9 MB
- 04 - Markov Models (Intermediate)/011 Language Model (Code pt 1).mp4 62.8 MB
- 08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 60.2 MB
- 02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory).mp4 58.6 MB
- 02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization.mp4 57.9 MB
- 04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1).mp4 57.7 MB
- 02 - Vector Models and Text Preprocessing/005 Count Vectorizer (Theory).mp4 57.4 MB
- 04 - Markov Models (Intermediate)/012 Language Model (Code pt 2).mp4 52.4 MB
- 09 - Sentiment Analysis/007 Sentiment Analysis in Python (pt 2).mp4 52.0 MB
- 08 - Spam Detection/002 Naive Bayes Intuition.mp4 51.3 MB
- 02 - Vector Models and Text Preprocessing/003 What is a Vector.mp4 48.9 MB
- 02 - Vector Models and Text Preprocessing/015 Word-to-Index Mapping.mp4 47.6 MB
- 02 - Vector Models and Text Preprocessing/017 Neural Word Embeddings.mp4 45.5 MB
- 04 - Markov Models (Intermediate)/003 The Markov Model.mp4 45.3 MB
- 02 - Vector Models and Text Preprocessing/011 Vector Similarity.mp4 45.1 MB
- 04 - Markov Models (Intermediate)/009 Language Model (Theory).mp4 45.0 MB
- 09 - Sentiment Analysis/001 Sentiment Analysis - Problem Description.mp4 42.7 MB
- 05 - Article Spinner (Intermediate)/001 Article Spinning - Problem Description.mp4 41.9 MB
- 06 - Cipher Decryption (Advanced)/010 Code pt 5.mp4 41.0 MB
- 09 - Sentiment Analysis/004 Logistic Regression Training and Interpretation (pt 3).mp4 39.6 MB
- 06 - Cipher Decryption (Advanced)/007 Code pt 2.mp4 39.1 MB
- 04 - Markov Models (Intermediate)/004 Probability Smoothing and Log-Probabilities.mp4 32.9 MB
- 04 - Markov Models (Intermediate)/002 The Markov Property.mp4 32.2 MB
- 08 - Spam Detection/001 Spam Detection - Problem Description.mp4 31.3 MB
- 06 - Cipher Decryption (Advanced)/008 Code pt 3.mp4 29.5 MB
- 04 - Markov Models (Intermediate)/005 Building a Text Classifier (Theory).mp4 28.9 MB
- 04 - Markov Models (Intermediate)/010 Language Model (Exercise Prompt).mp4 28.8 MB
- 02 - Vector Models and Text Preprocessing/002 Basic Definitions for NLP.mp4 28.4 MB
- 05 - Article Spinner (Intermediate)/006 Case Study Article Spinning Gone Wrong.mp4 28.2 MB
- 08 - Spam Detection/005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 27.3 MB
- 03 - Probabilistic Models (Introduction)/001 Probabilistic Models (Introduction).mp4 26.9 MB
- 01 - Introduction/003 Are You Beginner, Intermediate, or Advanced All are OK!.mp4 26.7 MB
- 06 - Cipher Decryption (Advanced)/001 Section Introduction.mp4 26.3 MB
- 06 - Cipher Decryption (Advanced)/009 Code pt 4.mp4 25.6 MB
- 09 - Sentiment Analysis/006 Sentiment Analysis in Python (pt 1).mp4 24.8 MB
- 05 - Article Spinner (Intermediate)/003 Article Spinner Exercise Prompt.mp4 24.6 MB
- 06 - Cipher Decryption (Advanced)/012 Section Conclusion.mp4 24.2 MB
- 09 - Sentiment Analysis/003 Multiclass Logistic Regression (pt 2).mp4 23.6 MB
- 07 - Machine Learning Models (Introduction)/001 Machine Learning Models (Introduction).mp4 23.4 MB
- 02 - Vector Models and Text Preprocessing/019 Vector Models & Text Preprocessing Summary.mp4 20.9 MB
- 06 - Cipher Decryption (Advanced)/005 Code Preparation.mp4 20.6 MB
- 02 - Vector Models and Text Preprocessing/001 Vector Models & Text Preprocessing Intro.mp4 17.5 MB
- 06 - Cipher Decryption (Advanced)/002 Ciphers.mp4 17.2 MB
- 09 - Sentiment Analysis/005 Sentiment Analysis - Exercise Prompt.mp4 16.6 MB
- 04 - Markov Models (Intermediate)/006 Building a Text Classifier (Exercise Prompt).mp4 16.1 MB
- 06 - Cipher Decryption (Advanced)/006 Code pt 1.mp4 16.0 MB
- 05 - Article Spinner (Intermediate)/002 Article Spinning - N-Gram Approach.mp4 15.9 MB
- 04 - Markov Models (Intermediate)/013 Markov Models Section Summary.mp4 15.6 MB
- 02 - Vector Models and Text Preprocessing/004 Bag of Words.mp4 13.9 MB
- 02 - Vector Models and Text Preprocessing/013 (Interactive) Recommender Exercise Prompt.mp4 13.4 MB
- 06 - Cipher Decryption (Advanced)/011 Code pt 6.mp4 13.3 MB
- 02 - Vector Models and Text Preprocessing/007 Stopwords.mp4 13.1 MB
- 04 - Markov Models (Intermediate)/001 Markov Models Section Introduction.mp4 13.1 MB
- 08 - Spam Detection/003 Spam Detection - Exercise Prompt.mp4 8.7 MB
- 06 - Cipher Decryption (Advanced)/004 Genetic Algorithms_en.srt 29.2 KB
- 02 - Vector Models and Text Preprocessing/014 TF-IDF (Code)_en.srt 24.8 KB
- 09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1)_en.srt 22.5 KB
- 05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1)_en.srt 20.7 KB
- 06 - Cipher Decryption (Advanced)/003 Language Models (Review)_en.srt 20.5 KB
- 02 - Vector Models and Text Preprocessing/006 Tokenization_en.srt 19.8 KB
- 08 - Spam Detection/006 Spam Detection in Python_en.srt 19.3 KB
- 02 - Vector Models and Text Preprocessing/005 Count Vectorizer (Theory)_en.srt 19.2 KB
- 02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code)_en.srt 19.1 KB
- 02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch_en.srt 18.6 KB
- 02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory)_en.srt 18.3 KB
- 08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1)_en.srt 16.8 KB
- 04 - Markov Models (Intermediate)/003 The Markov Model_en.srt 16.0 KB
- 02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization_en.srt 15.8 KB
- 01 - Introduction/002 Where to get the Code_en.srt 15.6 KB
- 01 - Introduction/001 Introduction and Outline_en.srt 15.5 KB
- 08 - Spam Detection/002 Naive Bayes Intuition_en.srt 15.2 KB
- 02 - Vector Models and Text Preprocessing/011 Vector Similarity_en.srt 15.2 KB
- 02 - Vector Models and Text Preprocessing/003 What is a Vector_en.srt 14.9 KB
- 02 - Vector Models and Text Preprocessing/015 Word-to-Index Mapping_en.srt 14.8 KB
- 08 - Spam Detection/005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2)_en.srt 14.5 KB
- 02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo_en.srt 13.9 KB
- 04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2)_en.srt 13.8 KB
- 02 - Vector Models and Text Preprocessing/017 Neural Word Embeddings_en.srt 13.5 KB
- 04 - Markov Models (Intermediate)/009 Language Model (Theory)_en.srt 13.3 KB
- 04 - Markov Models (Intermediate)/011 Language Model (Code pt 1)_en.srt 13.2 KB
- 02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo_en.srt 12.7 KB
- 05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2)_en.srt 12.4 KB
- 04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1)_en.srt 11.8 KB
- 09 - Sentiment Analysis/006 Sentiment Analysis in Python (pt 1)_en.srt 11.6 KB
- 04 - Markov Models (Intermediate)/012 Language Model (Code pt 2)_en.srt 11.3 KB
- 09 - Sentiment Analysis/004 Logistic Regression Training and Interpretation (pt 3)_en.srt 10.8 KB
- 05 - Article Spinner (Intermediate)/001 Article Spinning - Problem Description_en.srt 10.8 KB
- 04 - Markov Models (Intermediate)/004 Probability Smoothing and Log-Probabilities_en.srt 10.3 KB
- 09 - Sentiment Analysis/001 Sentiment Analysis - Problem Description_en.srt 9.8 KB
- 09 - Sentiment Analysis/007 Sentiment Analysis in Python (pt 2)_en.srt 9.7 KB
- 04 - Markov Models (Intermediate)/002 The Markov Property_en.srt 9.5 KB
- 04 - Markov Models (Intermediate)/005 Building a Text Classifier (Theory)_en.srt 9.5 KB
- 06 - Cipher Decryption (Advanced)/007 Code pt 2_en.srt 9.3 KB
- 04 - Markov Models (Intermediate)/010 Language Model (Exercise Prompt)_en.srt 9.0 KB
- 06 - Cipher Decryption (Advanced)/010 Code pt 5_en.srt 8.8 KB
- 04 - Markov Models (Intermediate)/006 Building a Text Classifier (Exercise Prompt)_en.srt 8.8 KB
- 08 - Spam Detection/001 Spam Detection - Problem Description_en.srt 8.7 KB
- 09 - Sentiment Analysis/003 Multiclass Logistic Regression (pt 2)_en.srt 8.5 KB
- 06 - Cipher Decryption (Advanced)/012 Section Conclusion_en.srt 8.3 KB
- 05 - Article Spinner (Intermediate)/003 Article Spinner Exercise Prompt_en.srt 7.6 KB
- 05 - Article Spinner (Intermediate)/006 Case Study Article Spinning Gone Wrong_en.srt 7.6 KB
- 06 - Cipher Decryption (Advanced)/011 Code pt 6_en.srt 7.2 KB
- 01 - Introduction/003 Are You Beginner, Intermediate, or Advanced All are OK!_en.srt 7.2 KB
- 06 - Cipher Decryption (Advanced)/005 Code Preparation_en.srt 6.7 KB
- 06 - Cipher Decryption (Advanced)/001 Section Introduction_en.srt 6.7 KB
- 02 - Vector Models and Text Preprocessing/002 Basic Definitions for NLP_en.srt 6.7 KB
- 03 - Probabilistic Models (Introduction)/001 Probabilistic Models (Introduction)_en.srt 6.3 KB
- 07 - Machine Learning Models (Introduction)/001 Machine Learning Models (Introduction)_en.srt 6.2 KB
- 02 - Vector Models and Text Preprocessing/007 Stopwords_en.srt 6.2 KB
- 06 - Cipher Decryption (Advanced)/008 Code pt 3_en.srt 6.1 KB
- 05 - Article Spinner (Intermediate)/002 Article Spinning - N-Gram Approach_en.srt 5.2 KB
- 09 - Sentiment Analysis/005 Sentiment Analysis - Exercise Prompt_en.srt 5.1 KB
- 02 - Vector Models and Text Preprocessing/001 Vector Models & Text Preprocessing Intro_en.srt 5.0 KB
- 06 - Cipher Decryption (Advanced)/009 Code pt 4_en.srt 4.8 KB
- 06 - Cipher Decryption (Advanced)/002 Ciphers_en.srt 4.8 KB
- 02 - Vector Models and Text Preprocessing/019 Vector Models & Text Preprocessing Summary_en.srt 4.8 KB
- 06 - Cipher Decryption (Advanced)/006 Code pt 1_en.srt 4.1 KB
- 04 - Markov Models (Intermediate)/013 Markov Models Section Summary_en.srt 4.0 KB
- 04 - Markov Models (Intermediate)/001 Markov Models Section Introduction_en.srt 3.5 KB
- 02 - Vector Models and Text Preprocessing/013 (Interactive) Recommender Exercise Prompt_en.srt 3.2 KB
- 02 - Vector Models and Text Preprocessing/004 Bag of Words_en.srt 3.2 KB
- 08 - Spam Detection/003 Spam Detection - Exercise Prompt_en.srt 2.6 KB
- 10 - Extras/001 Colab Notebooks.html 572 bytes
- 01 - Introduction/external-assets-links.txt 223 bytes
- 02 - Vector Models and Text Preprocessing/How you can help GetFreeCourses.Co.txt 182 bytes
- 07 - Machine Learning Models (Introduction)/How you can help GetFreeCourses.Co.txt 182 bytes
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