Machine Learning Specialization

Learn the essential math for ML, starting with linear algebra and statistics. Work with matrices, understand eigenvalues, probability, hypothesis testing, and intermediate to advanced statistics tailored for real-world ML challenges

Learn how to make the data ready for ML model building and drive actionable business insights from the data using extensive EDA..

Learn regression and classification models from zero to professional level. These are the most popular algorithms used in Data Science problems. .

Master advanced machine learning algorithms, the maths behind it, code implementations and application. Also, know the real-life do's and dont's of ML modeling.