Supervised Machine Learning Regression And Classification Coursera Free Download __top__ Jun 2026

Focuses on optimization techniques like , feature scaling, and choosing appropriate learning rates.

Note: The next courses in the specialization cover Advanced Learning Algorithms (Neural Nets) and Unsupervised Learning (Clustering, Anomaly Detection). Focuses on optimization techniques like , feature scaling,

This course isn't just theory; it’s about building. You’ll use Python with libraries like scikit-learn to tackle: Linear Regression: Predicting continuous values, like house prices. Logistic Regression: Mastering binary classification for "yes/no" predictions. Gradient Descent: Focuses on optimization techniques like

Predict a continuous, infinite numerical value. infinite numerical value.