Machine Learning with Scikit-Learn

  1. Working with Text Data
    1. Text Preprocessing
      1. Text Cleaning
        1. Removing HTML Tags
          1. Handling Special Characters
            1. Unicode Normalization
            2. Tokenization
              1. Word Tokenization
                1. Sentence Tokenization
                2. Text Normalization
                  1. Lowercasing
                    1. Stemming
                      1. Lemmatization
                      2. Stop Word Removal
                        1. Standard Stop Words
                          1. Custom Stop Words
                        2. Feature Extraction from Text
                          1. Bag of Words Model
                            1. CountVectorizer
                              1. Vocabulary Building
                                1. Token Patterns
                                  1. N-grams
                                    1. Binary Occurrence
                                  2. TF-IDF Vectorization
                                    1. Term Frequency
                                      1. Inverse Document Frequency
                                        1. TfidfVectorizer
                                          1. TfidfTransformer
                                          2. Hashing Vectorizer
                                            1. Memory Efficiency
                                              1. Hash Collisions
                                              2. Character-level Features
                                                1. Character N-grams
                                              3. Text Classification
                                                1. Document Classification Pipeline
                                                  1. Feature Selection for Text
                                                    1. Handling Large Vocabularies
                                                      1. Sparse Matrix Operations
                                                      2. Text Clustering
                                                        1. Document Clustering
                                                          1. Topic Modeling Preparation
                                                          2. Advanced Text Processing
                                                            1. Handling Multiple Languages
                                                              1. Custom Tokenizers
                                                                1. Feature Hashing

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                                                              10. Building Machine Learning Pipelines

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                                                              12. Advanced Topics