Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way ...

Linear regression is one of the simplest ... Plus you can run a basic regression model without having to learn Python. For anyone working with small to medium-sized datasets, Google Sheets offers ...

This project compares the performance of Linear Regression and Logistic Regression for binary classification on a small dataset. The goal is to understand the differences between the two models and ...

# then , according to the given dataset, we put them to numpy arrays (reshape(-1,1) is because in the sk-learn we should define the dimension of features [features should be 2D]) x = np.array([-4.5, ...

Multiple programming languages will be supported (e.g., C, R, Python ... as classification (Naive Bayes, Logistic regression, Support Vector Machines, neural networks, decision trees, boosting) and ...