Introduction

There were mutiple courses on Machine Learning including Machine Learning Foundations (linear algebra and basic algorithms like PCA), Machine Learning Techniques (detailed mathematics of Support Vector Machines, Ensembling, etc) and Machine Learning Practice (implementation with scikit-learn, xgboost, etc).

The series of courses was finished with a Kaggle competition on a classification problem.

Associated Projects:

• Ecommerce Classification

• Titanic Survival