python Copy Edit scaler = StandardScaler() X_train = scaler.fit_transform(X_train) X_test = scaler.transform(X_test) Standardizes features to have mean 0 and std dev 1 for optimal model performance.

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and ...

Multinomial Naïve Bayes is a good match for our data for several reasons: There are several other machine learning models including logistic regression ... such as The code listing below combines ...

This project demonstrates how to implement simple linear regression from scratch using Python, without relying on libraries like Scikit-Learn. The implementation includes data preprocessing, model ...