1 Introduction and Outline
文件数目320
文件大小6.67 GB
收录时间2026-09-23 01:04:13
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文件列表 / 大小
0. Websites you may like/[CourseClub.Me].url
122 B
0. Websites you may like/[FreeCourseSite.com].url
127 B
0. Websites you may like/[GigaCourse.Com].url
49 B
1. Introduction/1. Introduction and Outline.mp4
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1. Introduction/1. Introduction and Outline.srt
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1. Introduction/2. Are You Beginner, Intermediate, or Advanced All are OK!.mp4
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1. Introduction/2. Are You Beginner, Intermediate, or Advanced All are OK!.srt
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10. Sentiment Analysis/1. Sentiment Analysis - Problem Description.mp4
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10. Sentiment Analysis/1. Sentiment Analysis - Problem Description.srt
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10. Sentiment Analysis/2. Logistic Regression Intuition (pt 1).mp4
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10. Sentiment Analysis/2. Logistic Regression Intuition (pt 1).srt
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10. Sentiment Analysis/3. Multiclass Logistic Regression (pt 2).mp4
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10. Sentiment Analysis/3. Multiclass Logistic Regression (pt 2).srt
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10. Sentiment Analysis/4. Logistic Regression Training and Interpretation (pt 3).mp4
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10. Sentiment Analysis/4. Logistic Regression Training and Interpretation (pt 3).srt
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10. Sentiment Analysis/5. Sentiment Analysis - Exercise Prompt.mp4
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10. Sentiment Analysis/5. Sentiment Analysis - Exercise Prompt.srt
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10. Sentiment Analysis/6. Sentiment Analysis in Python (pt 1).mp4
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10. Sentiment Analysis/7. Sentiment Analysis in Python (pt 2).mp4
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11. Text Summarization/1. Text Summarization Section Introduction.mp4
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11. Text Summarization/1. Text Summarization Section Introduction.srt
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11. Text Summarization/10. Text Summarization Section Summary.mp4
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11. Text Summarization/10. Text Summarization Section Summary.srt
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11. Text Summarization/2. Text Summarization Using Vectors.mp4
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11. Text Summarization/3. Text Summarization Exercise Prompt.mp4
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11. Text Summarization/3. Text Summarization Exercise Prompt.srt
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11. Text Summarization/4. Text Summarization in Python.mp4
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11. Text Summarization/4. Text Summarization in Python.srt
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11. Text Summarization/5. TextRank Intuition.mp4
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11. Text Summarization/6. TextRank - How It Really Works (Advanced).mp4
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11. Text Summarization/7. TextRank Exercise Prompt (Advanced).mp4
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11. Text Summarization/8. TextRank in Python (Advanced).mp4
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11. Text Summarization/9. Text Summarization in Python - The Easy Way (Beginner).mp4
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11. Text Summarization/9. Text Summarization in Python - The Easy Way (Beginner).srt
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12. Topic Modeling/1. Topic Modeling Section Introduction.mp4
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12. Topic Modeling/1. Topic Modeling Section Introduction.srt
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12. Topic Modeling/2. Latent Dirichlet Allocation (LDA) - Essentials.mp4
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12. Topic Modeling/2. Latent Dirichlet Allocation (LDA) - Essentials.srt
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12. Topic Modeling/3. LDA - Code Preparation.mp4
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12. Topic Modeling/4. LDA - Maybe Useful Picture (Optional).mp4
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12. Topic Modeling/5. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4
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12. Topic Modeling/6. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4
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12. Topic Modeling/7. Non-Negative Matrix Factorization (NMF) Intuition.mp4
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12. Topic Modeling/8. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.mp4
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12. Topic Modeling/8. Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.srt
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12. Topic Modeling/9. Topic Modeling Section Summary.mp4
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12. Topic Modeling/9. Topic Modeling Section Summary.srt
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13. Latent Semantic Analysis (Latent Semantic Indexing)/1. LSA LSI Section Introduction.mp4
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13. Latent Semantic Analysis (Latent Semantic Indexing)/1. LSA LSI Section Introduction.srt
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13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp4
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13. Latent Semantic Analysis (Latent Semantic Indexing)/3. LSA LSI Applying SVD to NLP.mp4
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13. Latent Semantic Analysis (Latent Semantic Indexing)/4. Latent Semantic Analysis Latent Semantic Indexing in Python.mp4
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13. Latent Semantic Analysis (Latent Semantic Indexing)/5. LSA LSI Exercises.mp4
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14. Deep Learning (Introduction)/1. Deep Learning Introduction (Intermediate-Advanced).mp4
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14. Deep Learning (Introduction)/1. Deep Learning Introduction (Intermediate-Advanced).srt
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15. The Neuron/1. The Neuron - Section Introduction.mp4
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15. The Neuron/2. Fitting a Line.mp4
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15. The Neuron/3. Classification Code Preparation.mp4
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15. The Neuron/4. Text Classification in Tensorflow.mp4
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15. The Neuron/5. The Neuron.mp4
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15. The Neuron/6. How does a model learn.mp4
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15. The Neuron/7. The Neuron - Section Summary.mp4
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16. Feedforward Artificial Neural Networks/1. ANN - Section Introduction.mp4
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16. Feedforward Artificial Neural Networks/10. Embeddings.mp4
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16. Feedforward Artificial Neural Networks/10. Embeddings.srt
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16. Feedforward Artificial Neural Networks/11. CBOW (Advanced).mp4
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16. Feedforward Artificial Neural Networks/11. CBOW (Advanced).srt
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16. Feedforward Artificial Neural Networks/12. CBOW Exercise Prompt.mp4
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16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4
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16. Feedforward Artificial Neural Networks/14. ANN - Section Summary.mp4
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16. Feedforward Artificial Neural Networks/15. Aside How to Choose Hyperparameters (Optional).mp4
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16. Feedforward Artificial Neural Networks/2. Forward Propagation.mp4
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16. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4
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16. Feedforward Artificial Neural Networks/4. Activation Functions.mp4
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16. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4
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16. Feedforward Artificial Neural Networks/6. ANN Code Preparation.mp4
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16. Feedforward Artificial Neural Networks/7. Text Classification ANN in Tensorflow.mp4
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16. Feedforward Artificial Neural Networks/8. Text Preprocessing Code Preparation.mp4
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16. Feedforward Artificial Neural Networks/9. Text Preprocessing in Tensorflow.mp4
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17. Convolutional Neural Networks/1. CNN - Section Introduction.mp4
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17. Convolutional Neural Networks/1. CNN - Section Introduction.srt
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17. Convolutional Neural Networks/2. What is Convolution.mp4
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17. Convolutional Neural Networks/2. What is Convolution.srt
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17. Convolutional Neural Networks/3. What is Convolution (Pattern Matching).mp4
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17. Convolutional Neural Networks/3. What is Convolution (Pattern Matching).srt
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17. Convolutional Neural Networks/4. What is Convolution (Weight Sharing).mp4
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17. Convolutional Neural Networks/5. Convolution on Color Images.mp4
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17. Convolutional Neural Networks/6. CNN Architecture.mp4
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17. Convolutional Neural Networks/7. CNNs for Text.mp4
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17. Convolutional Neural Networks/8. Convolutional Neural Network for NLP in Tensorflow.mp4
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17. Convolutional Neural Networks/8. Convolutional Neural Network for NLP in Tensorflow.srt
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17. Convolutional Neural Networks/9. CNN - Section Summary.mp4
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17. Convolutional Neural Networks/9. CNN - Section Summary.srt
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18. Recurrent Neural Networks/1. RNN - Section Introduction.mp4
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18. Recurrent Neural Networks/1. RNN - Section Introduction.srt
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18. Recurrent Neural Networks/10. Named Entity Recognition (NER) in Tensorflow.mp4
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18. Recurrent Neural Networks/10. Named Entity Recognition (NER) in Tensorflow.srt
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18. Recurrent Neural Networks/11. Exercise Return to CNNs (Advanced).mp4
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18. Recurrent Neural Networks/12. RNN - Section Summary.mp4
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18. Recurrent Neural Networks/2. Simple RNN Elman Unit (pt 1).mp4
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18. Recurrent Neural Networks/3. Simple RNN Elman Unit (pt 2).mp4
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18. Recurrent Neural Networks/3. Simple RNN Elman Unit (pt 2).srt
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18. Recurrent Neural Networks/4. RNN Code Preparation.mp4
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18. Recurrent Neural Networks/5. RNNs Paying Attention to Shapes.mp4
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18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).mp4
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18. Recurrent Neural Networks/7. GRU and LSTM (pt 2).mp4
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18. Recurrent Neural Networks/8. RNN for Text Classification in Tensorflow.mp4
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18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4
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18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.srt
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19. Setting Up Your Environment FAQ/1. Pre-Installation Check.mp4
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19. Setting Up Your Environment FAQ/2. Anaconda Environment Setup.mp4
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19. Setting Up Your Environment FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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19. Setting Up Your Environment FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
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2. Getting Set Up/1. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4
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2. Getting Set Up/1. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt
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2. Getting Set Up/1.1 Data Links.html
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2. Getting Set Up/1.2 Github Link.html
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2. Getting Set Up/2. How to use Github & Extra Coding Tips (Optional).mp4
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2. Getting Set Up/3. Where to get the code, notebooks, and data.mp4
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2. Getting Set Up/3. Where to get the code, notebooks, and data.srt
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2. Getting Set Up/3.1 Code Link.html
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2. Getting Set Up/3.2 Data Links.html
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2. Getting Set Up/3.3 Github Link.html
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2. Getting Set Up/4. How to Succeed in This Course.mp4
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2. Getting Set Up/5. Temporary 403 Errors.mp4
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20. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp4
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20. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).mp4
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20. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp4
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20. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.srt
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21. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).mp4
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21. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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21. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
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21. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
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21. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
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22. Appendix FAQ Finale/1. What is the Appendix.mp4
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22. Appendix FAQ Finale/1. What is the Appendix.srt
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22. Appendix FAQ Finale/2. BONUS.mp4
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3. Vector Models and Text Preprocessing/1. Vector Models & Text Preprocessing Intro.mp4
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3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).mp4
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3. Vector Models and Text Preprocessing/11. Vector Similarity.mp4
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3. Vector Models and Text Preprocessing/12. TF-IDF (Theory).mp4
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3. Vector Models and Text Preprocessing/13. (Interactive) Recommender Exercise Prompt.mp4
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3. Vector Models and Text Preprocessing/14. TF-IDF (Code).mp4
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3. Vector Models and Text Preprocessing/15. Word-to-Index Mapping.mp4
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3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.mp4
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3. Vector Models and Text Preprocessing/17. Neural Word Embeddings.mp4
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3. Vector Models and Text Preprocessing/18. Neural Word Embeddings Demo.mp4
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3. Vector Models and Text Preprocessing/19. Vector Models & Text Preprocessing Summary.mp4
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3. Vector Models and Text Preprocessing/2. Basic Definitions for NLP.mp4
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3. Vector Models and Text Preprocessing/20. Text Summarization Preview.mp4
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3. Vector Models and Text Preprocessing/21. How To Do NLP In Other Languages.mp4
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3. Vector Models and Text Preprocessing/22. Suggestion Box.mp4
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3. Vector Models and Text Preprocessing/3. What is a Vector.mp4
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3. Vector Models and Text Preprocessing/4. Bag of Words.mp4
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3. Vector Models and Text Preprocessing/5. Count Vectorizer (Theory).mp4
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3. Vector Models and Text Preprocessing/6. Tokenization.mp4
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3. Vector Models and Text Preprocessing/7. Stopwords.mp4
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3. Vector Models and Text Preprocessing/8. Stemming and Lemmatization.mp4
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3. Vector Models and Text Preprocessing/9. Stemming and Lemmatization Demo.mp4
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4. Probabilistic Models (Introduction)/1. Probabilistic Models (Introduction).mp4
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5. Markov Models (Intermediate)/1. Markov Models Section Introduction.mp4
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5. Markov Models (Intermediate)/10. Language Model (Exercise Prompt).mp4
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5. Markov Models (Intermediate)/11. Language Model (Code pt 1).mp4
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5. Markov Models (Intermediate)/12. Language Model (Code pt 2).mp4
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5. Markov Models (Intermediate)/13. Markov Models Section Summary.mp4
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7. Cipher Decryption (Advanced)/1. Section Introduction.mp4
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