This comprehensive machine learning course designed by industry experts will teach you all the core concepts that drive machine learning and how to build and train various ML models that are used to build real-world data-driven applications. Throughout this course, you will learn a series of concepts such as Supervised and Unsupervised learning, Classification, Regression, SVM’s decision trees, Overfitting, and Random forests to name a few. You will be working with one of the most popular ML libraries in Python: Scikit-learn and will learn to write code like a pro. Addedly, you will build as well as train classification and regression models and evaluate their performance on real-world datasets as part of your project experience in the curriculum.