In this post, we’ll be going through:

1. The Problem Solved By Logistic Regression
2. Activation Functions
3. Cost Function for Logistic Regression
4. Gradient Descent for Logistic Regression
5. The Need for Data Pre-processing
6. Techniques of Data Pre-processing
7. Solving the Titanic dataset on Kaggle through Logistic Regression

Logistic Regression is a type of supervised learning problem where the output values are discrete i.e. the output is a fixed number of classes.

#logistic-regression #data-preprocessing #machine-learning #python