Apart from automations, this article will assist those who want to learn more about data science and how Python can help. In the example below, I use an e-commerce data set to build a regression ...

For example, you might want to predict the sex (male = 0, female = 1) of a person based on their age, annual income and height. There are many different ML techniques you can use for binary ...

The categorical predictors should be one-hot encoded. For example, if there were six states instead of just three, the states would be encoded as 100000, 010000, 001000, 000100, 000010, 000001.

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you ...