In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model.

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

There are many ways to do linear regression in Python. We have already used the heavyweight Statsmodels library, so we will continue to use it here. It has much more functionality than we need, but it ...

Import NumPy and Matplotlib for basic linear and polynomial plots in Python. Seaborn lets you make statistical plots, like bar charts, histograms, and regression, with Python for free. Graphing ...

Luckily to do this it doesn't require too much to change compared to Simple Linear Regression. The updated hyptohesis function looks like so: To calculate this efficiently, we can use matrix ...