Supervised Learning with Scikit-learn

A step-up in my Data Science formation: Supervised Machine Learning with Scikit-learn in Python. Topics: Classification and regression models, including KN-neighbors, SVM, advanced Linear Regression, Logistic Regression, basics of Ridge, Lasso, and Elastic Regression, concepts such as underfitting and overfitting, train-test-split, model evaluation, cross-validation, grid-search, and hyperparameter tunning, as well as data preprocessing and visualization techniques.

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