Job-ready foundational machine learning skills in Python in just 6 weeks, including how to utilizeScikit-learn to build, test, and evaluate models.

How to apply data preparation techniques and manage bias-variance tradeoffs to optimize model performance.

How to implement core machine learning algorithms, including linear regression, decision trees, and SVM, for classification and regression tasks.

How to evaluate model performance using metrics, cross-validation, and hyperparameter tuning to ensure accuracy and reliability.