This learning path is designed to cover all the basics of machine learning using the SciKit-learn library. You will go through the process of training a machine learning model, starting with data preprocessing and ending with advanced model evaluation techniques.
Overview
Syllabus
- Course 1: Training Your First Machine Learning Model from Scratch
- Course 2: Data Preprocessing For Machine Learning
- Course 3: Diving Deep into Regression
- Course 4: Cracking Classification
- Course 5: Deep Dive into Regression and Classification Metrics
- Course 6: Ensembles in Machine Learning
- Course 7: Hypertuning and Cross-Validation