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

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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