Feature Engineering and Selection for Regression Models with Python and Scikit-learn
This guide provides tips on feature exploration, engineering, and selection for machine learning using Python and Scikit-Learn
4 tutorials
This guide provides tips on feature exploration, engineering, and selection for machine learning using Python and Scikit-Learn
Learn how to use Random Search to tune the model hyperparameters of a Random Forest with Python that predicts house sale prices.
This Python tutorial shows how to use Auto-ARIMA for time series forecasting using the example of forecasting beer sales.
Learn to use logistic regression to solve two-class prediction problems in Python by classifying online shoppers' purchase intentions.