├── 1.5-spam-classifier ├── Bayesian_Inference.ipynb ├── Bayesian_Inference_solution.ipynb ├── images │ ├── bayes_formula.png │ ├── countvectorizer.png │ ├── dqnb.png │ ├── naivebayes.png │ └── tfidf.png └── smsspamcollection │ ├── SMSSpamCollection │ └── readme ├── 2.2-topic-modeling ├── Latent_dirichlet_allocation.ipynb ├── Solution - Latent_dirichlet_allocation.ipynb └── abcnews-date-text.csv ├── 2.3-sentiment-analysis ├── rnn_sentiment_analysis.ipynb └── rnn_sentiment_analysis_solution.ipynb ├── 2.5-attention ├── Attention Basics.ipynb ├── [SOLUTION] Attention Basics.ipynb └── images │ ├── Context_vector.png │ ├── scoring_functions.png │ └── softmax.png ├── 2.6-rnn-keras-lab ├── Deciphering Code with Character-Level RNN.ipynb ├── SOLUTION Deciphering Code with Character-Level RNN.ipynb ├── cipher.txt ├── helper.py ├── list_1.png ├── list_2.png ├── list_3.png ├── padded_list.png └── plaintext.txt └── README.md /1.5-spam-classifier/Bayesian_Inference.ipynb: 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