Implementing the gradient descent algorithm from scratch to perform univariate linear regression to analyze the profit made by a bike sharing company.

Syracuse University, Masters of Applied Data Science -SCM 651 Business Analytics

Linear Regression is implemented to identify the relationship between the profit of a bakery and the population of different cities. The main objective is to find the next city in which a new outlet should be opened.

In this notebook, we want to create a machine learning model from scratch to predict car prices using independent variables.

Create a simple, univariate linear regression model that predicts the salary from a person's experience (measured in years), using the gradiant descent algorithm.

Code for a basic univariate linear regression model using scikit-learn