In this video, we'll learn how to predict your local weather with machine learning. We'll start by downloading the data, then we'll prepare it for machine learning and try a ridge regression model. This is a beginner-friendly tutorial. We'll use python, jupyter notebook, pandas, and scikit-learn.
You can find the project notebook and data here: [ Ссылка ]
Chapters
00:00 Introduction
00:39 - downloading the data
02:51 - reading the data into pandas
05:20 - preparing the data for machine learning
08:43 - filling in missing values
14:35 - verifying we have the correct data types
17:13 - analyzing our weather data
20:35 - training our first machine learning model
26:06 - evaluating our model
28:32 - creating a function to make predictions
29:48 - adding in rolling means
33:33 - adding in monthly and daily averages
37:40 - running model diagnostics
39:31 - next steps with this project
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