fchikwekwe/IntroToMachineLearning

DS 2.1 Introduction to Machine Learning. Comprehensive course in which I was introduced to Regression, Classification, Clustering and Ensemble Methods for use in practical, real life applications. Finished project by training Linear Regression, Logistic Regression and K Means models on Economic Freedom Project dataset.

📝 Notes and assignments from DS 2.1 machine learning course. This README will be updated in the future to include comprehensive guide to learnings from this course.