Build a regression model using Scikit-learn: prepare and visualize data

Pre-lecture quiz

Introduction

Asking the right question of your data

Case study: 'the pumpkin market'

Preparing data

The pumpkin data - early conclusions

Exercise - analyze the pumpkin data

First, check for missing dates

Second, determine average price of pumpkin

But wait! There's something odd here

But wait! There's one more thing to do

Visualization Strategies

Exercise - experiment with Matplotlib

Make it useful

Exercise - experiment with Seaborn

Scatter plots to show relationships

Bar charts to show distributions

Heatmaps to show correlations

Matplotlib or Seaborn?

🚀Challenge

Post-lecture quiz

Review & Self Study

Assignment