/courses/machine-learning/classification/Recent content in Classification on DATATWEETSHugoenCopyright (c) 2025 DatatweetsFri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/classification/lesson-1-introduction-to-logistic-regression/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/classification/lesson-1-introduction-to-logistic-regression/Discover the difference between classification and regression, see why linear regression fails on a yes/no target, and learn how the sigmoid function turns a linear score into a probability. You will use the real Customer Churn dataset to build and evaluate your first logistic regression model./courses/machine-learning/classification/lesson-2-interpreting-the-regression-parameters/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/classification/lesson-2-interpreting-the-regression-parameters/Train a LogisticRegression model on the real customer churn dataset, then learn what its intercept and coefficients actually mean. You will convert log-odds into odds ratios, read the direction and magnitude of each feature’s effect, and explain in plain language how each predictor pushes churn up or down./courses/machine-learning/classification/lesson-3-evaluating-logistic-regression-models/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/classification/lesson-3-evaluating-logistic-regression-models/Accuracy alone hides what a classifier gets wrong. Using the real Customer Churn dataset, you will build a confusion matrix and compute sensitivity, specificity, and precision to see exactly how your logistic regression performs on each class./courses/machine-learning/classification/lesson-4-applying-logistic-regression-models/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/classification/lesson-4-applying-logistic-regression-models/Move beyond a single accuracy number. You will work with the predicted probabilities behind every classification, slide the decision threshold to match a business goal, and read the ROC curve and AUC to judge a churn model across all thresholds at once./courses/machine-learning/classification/lesson-5-guided-project-classifying-heart-disease/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/classification/lesson-5-guided-project-classifying-heart-disease/Put everything you have learned about logistic regression into practice on a real medical dataset. You will load, explore, split, scale, fit, and evaluate a heart disease classifier, then reason about why recall matters most in a clinical setting.