Posts tagged “Scikit-Learn”
3 posts
Regression and Decision Boundaries
Part 5 of the ML Fundamentals series. Linear and polynomial regression, Ridge and Lasso regularisation, logistic regression, the Perceptron, and visualising …
Classification — KNN, Naive Bayes, Decision Trees
Part 4 of the ML Fundamentals series. Three foundational classification algorithms — how they work, when to use each, and hands-on implementation with …
Python ML Toolkit
Part 3 of the ML Fundamentals series. Setting up a Python ML environment, and practical workflow patterns with Pandas, NumPy, Matplotlib, Scikit-learn, and …