Supervised Machine Learning: Regression and Classification

DeepLearning offers a beginner-friendly course called Supervised Machine Learning: Regression and Classification.AI at Stanford University, where renowned AI specialist Andrew Ng teaches the first course of the Machine Learning Specialization. By teaching students how to create predictive models using Python, NumPy, and scikit-learn, it offers a solid foundation in machine learning. Through interactive coding exercises and real-world examples, the course covers fundamental concepts like linear regression, multiple linear regression, logistic regression, classification, gradient descent, model training, and regularization. It is intended for novices with a foundational understanding of mathematics and programming from high school.

Provider/Creator: DeepLearning.AI & Stanford University
Platform: Coursera
Category: Machine Learning
Level: Beginner
Duration: ~33 hours
Certificate: Yes (Paid certificate, free audit available)
Rating: 4.9/5
Direct Course Link: Supervised Machine Learning: Regression and Classification
Recommended For: Beginners in AI/ML, data science students, software developers, data analysts, and professionals transitioning into machine learning