Udemy - Machine Learning Natural Language Processing in Python (V2)
Language: English | Size:6.67 GB
Genre:eLearning

Files Included :

1  Introduction and Outline.mp4 (72.98 MB)
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2  Are You Beginner, Intermediate, or Advanced All are OK!.mp4 (26.67 MB)
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1  Sentiment Analysis - Problem Description.mp4 (42.71 MB)
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2  Logistic Regression Intuition (pt 1).mp4 (63.57 MB)
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3  Multiclass Logistic Regression (pt 2).mp4 (23.62 MB)
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4  Logistic Regression Training and Interpretation (pt 3).mp4 (39.63 MB)
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5  Sentiment Analysis - Exercise Prompt.mp4 (16.55 MB)
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6  Sentiment Analysis in Python (pt 1).mp4 (63.15 MB)
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7  Sentiment Analysis in Python (pt 2).mp4 (51.97 MB)
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1  Text Summarization Section Introduction.mp4 (25.75 MB)
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10  Text Summarization Section Summary.mp4 (20.11 MB)
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2  Text Summarization Using Vectors.mp4 (25.77 MB)
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3  Text Summarization Exercise Prompt.mp4 (8.11 MB)
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4  Text Summarization in Python.mp4 (78.15 MB)
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5  TextRank Intuition.mp4 (45.93 MB)
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6  TextRank - How It Really Works (Advanced).mp4 (49.32 MB)
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7  TextRank Exercise Prompt (Advanced).mp4 (7.47 MB)
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8  TextRank in Python (Advanced).mp4 (82.31 MB)
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9  Text Summarization in Python - The Easy Way (Beginner).mp4 (45.17 MB)
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1  Topic Modeling Section Introduction.mp4 (17.05 MB)
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2  Latent Dirichlet Allocation (LDA) - Essentials.mp4 (55.19 MB)
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3  LDA - Code Preparation.mp4 (14.51 MB)
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4  LDA - Maybe Useful Picture (Optional).mp4 (8.98 MB)
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5  Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4 (60.18 MB)
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6  Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4 (72.38 MB)
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7  Non-Negative Matrix Factorization (NMF) Intuition.mp4 (52.48 MB)
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8  Topic Modeling with Non-Negative Matrix Factorization (NMF) in Python.mp4 (36.03 MB)
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9  Topic Modeling Section Summary.mp4 (9.82 MB)
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1  LSA  LSI Section Introduction.mp4 (20.96 MB)
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2  SVD (Singular Value Decomposition) Intuition.mp4 (81.84 MB)
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3  LSA  LSI Applying SVD to NLP.mp4 (34.43 MB)
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4  Latent Semantic Analysis  Latent Semantic Indexing in Python.mp4 (57.56 MB)
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5  LSA  LSI Exercises.mp4 (29.06 MB)
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1  Deep Learning Introduction (Intermediate-Advanced).mp4 (24.53 MB)
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1  The Neuron - Section Introduction.mp4 (11.01 MB)
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2  Fitting a Line.mp4 (68.62 MB)
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3  Classification Code Preparation.mp4 (32.89 MB)
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4  Text Classification in Tensorflow.mp4 (81.67 MB)
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5  The Neuron.mp4 (45.25 MB)
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6  How does a model learn.mp4 (51.59 MB)
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7  The Neuron - Section Summary.mp4 (10.32 MB)
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1  ANN - Section Introduction.mp4 (38.64 MB)
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10  Embeddings.mp4 (42.28 MB)
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11  CBOW (Advanced).mp4 (15.77 MB)
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12  CBOW Exercise Prompt.mp4 (5.03 MB)
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13  CBOW in Tensorflow (Advanced).mp4 (117.56 MB)
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14  ANN - Section Summary.mp4 (7.61 MB)
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15  Aside How to Choose Hyperparameters (Optional).mp4 (38.07 MB)
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2  Forward Propagation.mp4 (46.73 MB)
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3  The Geometrical Picture.mp4 (56.54 MB)
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4  Activation Functions.mp4 (89.31 MB)
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5  Multiclass Classification.mp4 (44.42 MB)
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6  ANN Code Preparation.mp4 (20.15 MB)
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7  Text Classification ANN in Tensorflow.mp4 (36.13 MB)
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8  Text Preprocessing Code Preparation.mp4 (49.99 MB)
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9  Text Preprocessing in Tensorflow.mp4 (30.94 MB)
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1  CNN - Section Introduction.mp4 (25.62 MB)
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2  What is Convolution.mp4 (79.86 MB)
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3  What is Convolution (Pattern Matching).mp4 (24.62 MB)
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4  What is Convolution (Weight Sharing).mp4 (29.82 MB)
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5  Convolution on Color Images.mp4 (75.2 MB)
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6  CNN Architecture.mp4 (89.29 MB)
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7  CNNs for Text.mp4 (40.49 MB)
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8  Convolutional Neural Network for NLP in Tensorflow.mp4 (42.05 MB)
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9  CNN - Section Summary.mp4 (8.2 MB)
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1  RNN - Section Introduction.mp4 (20.9 MB)
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10  Named Entity Recognition (NER) in Tensorflow.mp4 (31.54 MB)
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11  Exercise Return to CNNs (Advanced).mp4 (14.56 MB)
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12  RNN - Section Summary.mp4 (9.1 MB)
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2  Simple RNN  Elman Unit (pt 1).mp4 (40.83 MB)
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3  Simple RNN  Elman Unit (pt 2).mp4 (41.18 MB)
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4  RNN Code Preparation.mp4 (42.15 MB)
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5  RNNs Paying Attention to Shapes.mp4 (57.17 MB)
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6  GRU and LSTM (pt 1).mp4 (82.26 MB)
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7  GRU and LSTM (pt 2).mp4 (50.34 MB)
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8  RNN for Text Classification in Tensorflow.mp4 (45.92 MB)
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9  Parts-of-Speech (POS) Tagging in Tensorflow.mp4 (145.11 MB)
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1  Pre-Installation Check.mp4 (22.76 MB)
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2  Anaconda Environment Setup.mp4 (52.64 MB)
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3  How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (50.9 MB)
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1  Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4 (43.56 MB)
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2  How to use Github & Extra Coding Tips (Optional).mp4 (63.89 MB)
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3  Where to get the code, notebooks, and data.mp4 (17.73 MB)
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4  How to Succeed in This Course.mp4 (41.2 MB)
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5  Temporary 403 Errors.mp4 (21.99 MB)
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1  How to Code by Yourself (part 1).mp4 (71.86 MB)
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2  How to Code by Yourself (part 2).mp4 (49.16 MB)
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3  Proof that using Jupyter Notebook is the same as not using it.mp4 (69.43 MB)
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1  How to Succeed in this Course (Long Version).mp4 (17.88 MB)
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2  Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (38.96 MB)
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3  Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 (79.67 MB)
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4  Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 (108.15 MB)
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1  What is the Appendix.mp4 (16.39 MB)
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2  BONUS.mp4 (39.84 MB)
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1  Vector Models & Text Preprocessing Intro.mp4 (17.53 MB)
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10  Count Vectorizer (Code).mp4 (101.99 MB)
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11  Vector Similarity.mp4 (45.12 MB)
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12  TF-IDF (Theory).mp4 (58.58 MB)
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13  (Interactive) Recommender Exercise Prompt.mp4 (13.39 MB)
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14  TF-IDF (Code).mp4 (124.93 MB)
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15  Word-to-Index Mapping.mp4 (47.59 MB)
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16  How to Build TF-IDF From Scratch.mp4 (79.8 MB)
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17  Neural Word Embeddings.mp4 (45.54 MB)
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18  Neural Word Embeddings Demo.mp4 (66.84 MB)
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19  Vector Models & Text Preprocessing Summary.mp4 (20.86 MB)
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2  Basic Definitions for NLP.mp4 (28.36 MB)
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20  Text Summarization Preview.mp4 (6.29 MB)
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21  How To Do NLP In Other Languages.mp4 (55.97 MB)
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22  Suggestion Box.mp4 (27.16 MB)
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3  What is a Vector.mp4 (48.93 MB)
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4  Bag of Words.mp4 (13.86 MB)
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5  Count Vectorizer (Theory).mp4 (57.43 MB)
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6  Tokenization.mp4 (73.52 MB)
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7  Stopwords.mp4 (23.44 MB)
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8  Stemming and Lemmatization.mp4 (57.93 MB)
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9  Stemming and Lemmatization Demo.mp4 (74.85 MB)
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1  Probabilistic Models (Introduction).mp4 (26.92 MB)
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1  Markov Models Section Introduction.mp4 (13.09 MB)
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10  Language Model (Exercise Prompt).mp4 (28.81 MB)
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11  Language Model (Code pt 1).mp4 (62.84 MB)
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12  Language Model (Code pt 2).mp4 (52.43 MB)
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13  Markov Models Section Summary.mp4 (15.57 MB)
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2  The Markov Property.mp4 (32.26 MB)
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3  The Markov Model.mp4 (45.84 MB)
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4  Probability Smoothing and Log-Probabilities.mp4 (34.06 MB)
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5  Building a Text Classifier (Theory).mp4 (28.92 MB)
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6  Building a Text Classifier (Exercise Prompt).mp4 (29.37 MB)
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7  Building a Text Classifier (Code pt 1).mp4 (57.69 MB)
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8  Building a Text Classifier (Code pt 2).mp4 (72.23 MB)
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9  Language Model (Theory).mp4 (44.96 MB)
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1  Article Spinning - Problem Description.mp4 (41.93 MB)
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2  Article Spinning - N-Gram Approach.mp4 (15.93 MB)
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3  Article Spinner Exercise Prompt.mp4 (24.62 MB)
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4  Article Spinner in Python (pt 1).mp4 (95.9 MB)
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5  Article Spinner in Python (pt 2).mp4 (75.38 MB)
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6  Case Study Article Spinning Gone Wrong.mp4 (28.24 MB)
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1  Section Introduction.mp4 (26.33 MB)
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10  Code pt 5.mp4 (40.97 MB)
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11  Code pt 6.mp4 (39.4 MB)
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12  Cipher Decryption - Additional Discussion.mp4 (14.71 MB)
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13  Section Conclusion.mp4 (24.25 MB)
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2  Ciphers.mp4 (17.22 MB)
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3  Language Models (Review).mp4 (65.53 MB)
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4  Genetic Algorithms.mp4 (105.16 MB)
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5  Code Preparation.mp4 (20.64 MB)
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6  Code pt 1.mp4 (15.99 MB)
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7  Code pt 2.mp4 (39.13 MB)
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8  Code pt 3.mp4 (29.55 MB)
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9  Code pt 4.mp4 (25.62 MB)
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1  Machine Learning Models (Introduction).mp4 (29.61 MB)
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1  Spam Detection - Problem Description.mp4 (31.34 MB)
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2  Naive Bayes Intuition.mp4 (51.33 MB)
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3  Spam Detection - Exercise Prompt.mp4 (8.74 MB)
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4  Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 (60.21 MB)
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5  Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 (53.97 MB)
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6  Spam Detection in Python.mp4 (107.61 MB)
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Udemy - Machine Learning Natural Language Processing in Python (V2).part1.rar

https://rapidgator.net/file/1c53696e63b8cd495b1c5bf3cd7e8f19/.Machine.Learning.Natural.Language.Processing.in.Python.V2.part1.rar

Udemy - Machine Learning Natural Language Processing in Python (V2).part2.rar

https://rapidgator.net/file/39586d88b395b0ce8aa4a72dd0f516fa/.Machine.Learning.Natural.Language.Processing.in.Python.V2.part2.rar

Udemy - Machine Learning Natural Language Processing in Python (V2).part3.rar

https://rapidgator.net/file/c1a4c4da35d4c0b423b280b56e2ddc03/.Machine.Learning.Natural.Language.Processing.in.Python.V2.part3.rar

Udemy - Machine Learning Natural Language Processing in Python (V2).part4.rar

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Udemy - Machine Learning Natural Language Processing in Python (V2).part5.rar

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Udemy - Machine Learning Natural Language Processing in Python (V2).part6.rar

https://rapidgator.net/file/bf97d3c81eb976cd922d3c990a9385a3/.Machine.Learning.Natural.Language.Processing.in.Python.V2.part6.rar

Udemy - Machine Learning Natural Language Processing in Python (V2).part1.rar

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Udemy - Machine Learning Natural Language Processing in Python (V2).part2.rar

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Udemy - Machine Learning Natural Language Processing in Python (V2).part3.rar

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Udemy - Machine Learning Natural Language Processing in Python (V2).part4.rar

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Udemy - Machine Learning Natural Language Processing in Python (V2).part5.rar

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Udemy - Machine Learning Natural Language Processing in Python (V2).part6.rar

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