In this project, we'll predict tomorrow's temperature using python and historical data. We'll start by downloading a dataset of local weather, which you can customize to where you live!
Then, we'll clean the data and get it ready for machine learning. We'll build a system to make historical predictions, and add more predictors to improve the model. We'll end with how to make next-day predictions.
Full code - https://github.com/dataquestio/project-walkthroughs/tree/master/temperature_prediction
You'll see how to download the data in the video, but in case you don't want to, you can also download it here - https://github.com/dataquestio/project-walkthroughs/raw/master/temperature_prediction/weather.csv .
Chapters
00:00 Introduction
00:41 Downloading the data
02:27 Loading in the data
04:52 Cleaning missing values
09:45 Prepping data for machine learning
16:45 Train a machine learning model
26:23 Making predictions
29:14 Adding more predictors
40:21 Diagnostics and next steps
-------------------------------
Join 1M+ Dataquest learners today!
Master data skills and change your life.
Sign up for free: https://bit.ly/3O8MDef