Demonstrating solving multilinear regression using gradient descent optimisation.
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Updated
Apr 1, 2024 - Python
Demonstrating solving multilinear regression using gradient descent optimisation.
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.
Consider only the below columns and prepare a prediction model for predicting Price.
Automating Assumption Checks for Regression Models (Work in Progress, Currently Paused)
Calculating multilinear regression using independent variables as many as you want, then plot the prediction result against actual result in python
Colaborate work with Bernhard Hofbauer for our final project in the course "statistische methoden der datenanalyse" in the WS2020
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.
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