/courses/machine-learning/ml-foundations/Recent content in Machine Learning Foundations on DATATWEETSHugoenCopyright (c) 2025 DatatweetsFri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/ml-foundations/lesson-1-the-machine-learning-workflow/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/ml-foundations/lesson-1-the-machine-learning-workflow/Discover what machine learning is, how supervised learning works, and walk through the complete workflow from data to predictions. You will load the real Bank Marketing dataset, explore it, and build and evaluate your first classifier with scikit-learn./courses/machine-learning/ml-foundations/lesson-2-introduction-to-k-nearest-neighbors/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/ml-foundations/lesson-2-introduction-to-k-nearest-neighbors/Discover how the k-nearest neighbors algorithm makes predictions by letting the closest training points vote. Build intuition by hand, then train a scikit-learn classifier on the real Bank Marketing dataset, scale features correctly, and measure accuracy and AUC./courses/machine-learning/ml-foundations/lesson-3-evaluating-model-performance/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/ml-foundations/lesson-3-evaluating-model-performance/Accuracy alone hides what a classifier gets wrong. In this lesson you build a k-nearest neighbors model on the real Bank Marketing dataset, then evaluate it with confusion matrices, precision and recall, the ROC curve and AUC, and learn how to move the decision threshold./courses/machine-learning/ml-foundations/lesson-4-hyperparameter-optimization/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/ml-foundations/lesson-4-hyperparameter-optimization/Learn what hyperparameters are, why tuning and cross-validation improve a model, and how to search hyperparameter combinations systematically. Use scikit-learn’s GridSearchCV on the real Bank Marketing dataset to find the best KNN settings and confirm them on a held-out test set./courses/machine-learning/ml-foundations/lesson-5-guided-project-predicting-breast-cancer-diagnosis/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/ml-foundations/lesson-5-guided-project-predicting-breast-cancer-diagnosis/Apply everything you have learned to a complete project. Load the real Wisconsin Diagnostic Breast Cancer dataset, explore and prepare it, train a k-nearest neighbors classifier, and evaluate it with a confusion matrix and ROC curve.