Feature Engineering and Selection for Regression Models with Python and Scikit-learn

exploratory feature analysis python car price prediction

Training a machine learning model is like baking a cake: the quality of the end result depends on the ingredients you put in. If your input data is poor, your predictions will be too. But with the right ingredients – in this case, carefully selected input features – you can … Read more

Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python

house price prediction hyperparameter tuning

Finding the perfect hyperparameters for your machine learning model can be like searching for a needle in a haystack – unless you use random search. This efficient method automates the process of hyperparameter tuning, so you don’t have to spend hours manually testing different configurations. Hyperparameters are model properties (e.g., … Read more

Forecasting Beer Sales with ARIMA in Python

Forecasting Beer Sales with ARIMA

Time series analysis and forecasting is a tough nut to crack, but the ARIMA model has been cracking it for decades. ARIMA, short for “Auto-Regressive Integrated Moving Average,” is a powerful statistical modeling technique for time series analysis. It’s particularly effective when the time series you’re analyzing follows a clear … Read more

Classifying Purchase Intention of Online Shoppers with Python

Customer Purchase Intention Prediction Python Machine Learning

Most online stores welcome countless visitors every day, but only a fraction of those visitors will make a purchase. Purchase intention prediction is the process of using machine learning algorithms to predict the likelihood that a particular customer will make a purchase. This can be useful for many applications, such … Read more