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Product image for Feature Engineering for Machine Learning

Feature Engineering for Machine Learning

Learn imputation, variable encoding, discretization, feature extraction, how to work with datetime, outliers, and more.

  • Course
  • By Soledad Galli
$37.99
Product image for Feature Engineering for Time Series Forecasting

Feature Engineering for Time Series Forecasting

Create lag, window and seasonal features, perform imputation and encoding, extract datetime variables, remove outliers, and more.

  • Course
  • By Kishan Manani
$43.99
Product image for Feature Selection for Machine Learning

Feature Selection for Machine Learning

Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more.

  • Course
  • By Soledad Galli
$33.99
Product image for Forecasting with Machine Learning

Forecasting with Machine Learning

Forecast single and multiple time series with machine learning models. Implement backtesting to evaluate models before deployment.

  • Course
  • By Kishan Manani
$43.99
Product image for Hyperparameter Optimization for Machine Learning

Hyperparameter Optimization for Machine Learning

Learn grid and random search, Bayesian optimization, multi-fidelity models, Optuna, Hyperopt, Scikit-Optimize & more.

  • Course
  • By Soledad Galli
$35.99
Product image for Machine Learning Interpretability

Machine Learning Interpretability

Explain interpretable and black box models with LIME, Shap, partial dependency plots and more.

  • Course
  • By Soledad Galli
$37.99
Product image for Machine Learning with Imbalanced Data

Machine Learning with Imbalanced Data

Learn to over-sample and under-sample your data, apply SMOTE, ensemble methods, and cost-sensitive learning.

  • Course
  • By Soledad Galli
$37.99