/Linear-Regression

Primary LanguageJupyter Notebook

Linear-Regression

About The repository

This repository contains 3 different labs about linear regression.

Built With

Prerequisites

  • Make sure that Python is installed on your operating system. (download from https://www.python.org/downloads/) (Jupyter is more of a feature)

Content

Lab1 : Linear regression course

  • Linear Regression is the simplest algorithm in machine learning, it can be trained in different ways. In this notebook we will cover the following linear algorithms:
  1. Linear Regression
  2. Robust Regression
  3. Ridge Regression
  4. LASSO Regression
  5. Bayesian Regression
  6. Poisson Regression
  7. Elastic Net
  8. Polynomial Regression
  9. Stochastic Gradient Descent

Lab2 : Real-estate-price-prediction

Data : https://www.kaggle.com/quantbruce/real-estate-price-prediction

Lab3 : Medical Cost Personal Datasets

Data : https://www.kaggle.com/mirichoi0218/insurance