A basic univariate and multiple regression analysis on the classic advertising dataset.

• Univariate Regression
• Multiple Regression
• Correlation

• Python
• Pandas, jupyter, seaborn
• scikit-learn

As my past data science model building experience was entirely in R, the objective of this project was to familiarize myself with scikit-learn and data science in Python. I used the very well known "advertising" dataset which is a simple set of advertising spends of various types and the resulting sales. The features and target predicted variable are all continuous and the datset is complete and ready to model.

I performed some basic plotting eda, developed some functions to generate heatmaps with seaborn and some functions to run both univariate and multiple regression where I output some model evaluation parameters and plot the resulting line of best fit in the case of univariate regression.

• advertising.csv

• Advertising Jupyter Notebook