Practical Machine Learning

This comprehensive and practical 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 by actually implementing all concepts first-hand. Throughout this course, you will go from from beginner to pro with concepts such as Regression, Gradient Descent, Data Augmentation, Cross-Validation and then onto more advanced topics such as Exploratory Data Analysis (EDA), Feature Engineering, Curse of Dimensionality and so much more. 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.