The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity. The goal of a ...

Implement the gradient descent algorithm from scratch. Perform univariate linear regression with Numpy and Python. Create data visualizations and plots using matplotlib. By the end of this course, I ...

The goal of a time series regression problem is best explained by a concrete example. Suppose you own an airline company and you want to predict the number of passengers you'll have next month based ...

This repository demonstrates a basic implementation of linear regression for predicting house prices in California using the California Housing dataset from scikit-learn. Python 3.x with essential ...