/bogotobogo-Machine-Learning

Code repository - Jupyter notebook

Primary LanguageJupyter Notebook

Machine Learning

Tutorials

  1. Logistic Regression, Overfitting & regularization
  2. Data Preprocessing (missing/categorical data)
  3. Data Preprocessing II - Partitioning a dataset / Feature scaling / Feature Selection / Regularization
  4. Data Preprocessing III - Dimensionality reduction vis Sequential feature selection / Assessing feature importance via random forests
  5. Data Compression via Dimensionality Reduction I - Principal component analysis (PCA)
  6. Data Compression via Dimensionality Reduction II - Linear Discriminant Analysis (LDA)
  7. Data Compression via Dimensionality Reduction III - Nonlinear mappings via kernel principal component (KPCA) analysis
  8. Natural Language Processing (NLP): Sentiment Analysis I (IMDb & bag-of-words)
  9. Natural Language Processing (NLP): Sentiment Analysis II (tokenization, stemming, and stop words)
  10. Natural Language Processing (NLP): Sentiment Analysis III (training & cross validation)
  11. Natural Language Processing (NLP): Sentiment Analysis IV (out-of-core)