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Clustering and Dimensionality Reduction
Unlock the Power of Unsupervised Machine Learning and Data Mining with Cluster Analysis and Dimensionality Reduction
CourseBy Dalibor Veljkovic
Forecasting with Machine Learning
Forecast single and multiple time series with machine learning models. Implement backtesting to evaluate models before deployment.
CourseBy Kishan Manani
Feature Engineering for Time Series Forecasting
Create lag, window and seasonal features, perform imputation and encoding, extract datetime variables, remove outliers, and more.
CourseBy Kishan Manani
Feature Engineering for Machine Learning
Learn imputation, variable encoding, discretization, feature extraction, how to work with datetime, outliers, and more.
CourseBy Soledad Galli
Feature Selection for Machine Learning
Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more.
CourseBy Soledad Galli
Machine Learning Interpretability
Explain interpretable and black box models with LIME, Shap, partial dependency plots and more.
CourseBy Soledad Galli
Hyperparameter Optimization for Machine Learning
Learn grid and random search, Bayesian optimization, multi-fidelity models, Optuna, Hyperopt, Scikit-Optimize & more.
CourseBy Soledad Galli
Machine Learning with Imbalanced Data
Learn to over-sample and under-sample your data, apply SMOTE, ensemble methods, and cost-sensitive learning.
CourseBy Soledad Galli
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