This book uses real-life datasets from Kaggle to explain basic statistics for machine learning for data segmentation, regression predictions, and forecasts. You'll focus on variable dependency and autocorrelation to build, test, and use a linear regression prediction model and time series forecasts.
This book uses real-life datasets from Kaggle to explain basic statistics for machine learning for data segmentation, regression predictions, and fore...