Machine Learning — Logistic Regression

Machine Learning — 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.

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

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