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 - [ Ссылка ]

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 - [ Ссылка ] .

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

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