Machine Learning for beginners

Explore how machine learning enables predictive analytics with examples like predicting vehicle price and movie recommendations, and learn core algorithms—classification, anomaly detection, regression, and clustering.

Split data into 80/20, train a linear regression model to predict car prices, and evaluate accuracy near 90 percent, with steps to export to a web service.

Build a movie recommendation algorithm from user ratings and movie data, perform data cleaning and joins, train and evaluate an item-based model, and deploy it for production use.

Apply binary classification to loan granting using a dataset with credit score and loan status. Clean data and use a boosted algorithm to evaluate accuracy and false positives.