Master supervised and unsupervised learning algorithms with hands-on projects. Learn to build, train, and evaluate machine learning models using industry-standard libraries. This intermediate course bridges the gap between theoretical concepts and practical implementation, guided by an ML expert with 12+ years of experience at top tech companies.
Machine Learning is transforming industries and creating unprecedented demand for skilled professionals. This comprehensive course takes you from understanding core ML concepts to building production-ready models.
Throughout this course, you'll work on four real-world projects that demonstrate the practical application of machine learning. From predicting customer churn to classifying medical images, each project builds on your knowledge and provides hands-on experience with industry tools and techniques.
You'll learn not just how to implement algorithms, but also how to think about machine learning problems, approach data preprocessing, and deploy models to production. The course emphasizes best practices and common pitfalls to avoid.
12 sections • 156 lectures • 22h 30m total length
Master linear regression, polynomial regression, and other regression techniques.
Learn classification algorithms including logistic regression, decision trees, and ensemble methods.
Explore clustering and dimensionality reduction techniques.
Apply your knowledge to solve real business problems with actual datasets.
ML Engineer | Ex-Google, Meta
Sri has over 12 years of experience building machine learning systems at scale. She has led ML initiatives at top tech companies including Google and Meta, working on recommendation systems, NLP, and computer vision. She is passionate about democratizing machine learning education and has mentored 500+ students.
298 reviews
Sri's approach to teaching ML is fantastic! The projects helped me land an ML internship. Highly recommended for anyone serious about ML.
Clear explanations, good balance of theory and practice. The real projects make it worth every penny!
Best ML course I've taken! The practical projects and industry insights are invaluable.