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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