Automating Assumption Checks for Regression Models (Work in Progress, Currently Paused)

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model.

Demonstrating solving multilinear regression using gradient descent optimisation.

Colaborate work with Bernhard Hofbauer for our final project in the course "statistische methoden der datenanalyse" in the WS2020

Consider only the below columns and prepare a prediction model for predicting Price.

Calculating multilinear regression using independent variables as many as you want, then plot the prediction result against actual result in python

In this post, we develop a Multiple Linear Regression model in Python using the Gradient Descent Algorithm for estimating Model Coefficients to predict the prices of houses in the San Francisco Bay Area.