Supervised Learning with scikit-learn
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!
Predictive Modeling for Agriculture
Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.
Linear Classifiers in Python
In this course you will learn the details of linear classifiers like logistic regression and SVM.
Machine Learning with Tree-Based Models in Python
In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
Predicting Movie Rental Durations
Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.
Extreme Gradient Boosting with XGBoost
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.
Hyperparameter Tuning in Python
Gain experience using techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.