This Machine Learning with Python course introduces the basics of machine learning using Python. You'll learn about supervised and unsupervised learning, understand the connection between statistical modeling and ML, and compare various approaches.
The course covers popular algorithms such as Classification, Regression, Clustering, and Dimensional Reduction, as well as models like Train/Test Split, Root Mean Squared Error (RMSE), and Random Forests. Real-life examples will illustrate the societal impact of machine learning. Through hands-on labs, you'll turn theoretical knowledge into practical skills.
🆓 Free to Audit
🕒 Approx. 5 Weeks
📈 Intermediate Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by IBM via edX
