Machine Learning for Developers

  1. Data Engineering for Machine Learning
    1. Data Quality Management
      1. Missing Data Handling
        1. Deletion Strategies
          1. Imputation Techniques
            1. Missing Data Patterns
            2. Outlier Detection and Treatment
              1. Statistical Methods
                1. Machine Learning Methods
                  1. Domain-Specific Approaches
                  2. Data Consistency Validation
                    1. Schema Validation
                      1. Business Rule Validation
                        1. Cross-Field Validation
                      2. Feature Engineering
                        1. Numerical Feature Engineering
                          1. Scaling and Normalization
                            1. Binning and Discretization
                              1. Mathematical Transformations
                                1. Interaction Features
                                2. Categorical Feature Engineering
                                  1. One-Hot Encoding
                                    1. Label Encoding
                                      1. Target Encoding
                                        1. Embedding Techniques
                                        2. Temporal Feature Engineering
                                          1. Date and Time Features
                                            1. Lag Features
                                              1. Rolling Statistics
                                                1. Seasonal Decomposition
                                                2. Text Feature Engineering
                                                  1. Text Preprocessing
                                                    1. Bag-of-Words
                                                      1. TF-IDF
                                                        1. N-grams
                                                        2. Domain-Specific Features
                                                          1. Geospatial Features
                                                            1. Image Features
                                                              1. Audio Features
                                                            2. Data Pipeline Design
                                                              1. ETL Processes
                                                                1. Data Validation
                                                                  1. Feature Store Concepts
                                                                    1. Data Versioning

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                                                                  5. Python Machine Learning Ecosystem

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                                                                  7. Pre-trained Models and Transfer Learning