Want to make the most of these sunny days when they arrive?

It's probably better to predict the weather yourself rather than relying on it. on the weather channel.

The best thing is that you can get started with Neural Prophet quite easily. Neural Prophet is a relatively new library that uses Facebook's Prophet time series forecasting package and a Pytorch AR-Net model to quickly produce highly accurate time series forecasts. This makes it easy to create your own weather forecasts and forecasts with other time series style data.

In this video you will learn how to:
1. Preprocess a weather dataset from Kaggle using Pandas
2. Train a time series forecast model to predict temperature using Neural Prophet
3. Forecast the temperature in the future using the trained model

Get the code: https://github.com/nicknochnack/Forecasting-Weather-with-Neural-Prophet

Chapters:
0:00 – Start
2:22 – Installing and importing Neural Prophet
3:59 – Reading and preprocessing weather data
14:19 – Training a neural prophet model
4:33 p.m. – Forecast generation. with Neural Prophet
8:48 p.m. – Saving and reloading Neural Prophet models

Oh, and don't forget to contact me!
LinkedIn: https://www.linkedin.com/in/nicholasrenotte
Facebook: https://www.facebook.com/nickrenotte/
GitHub: https://github.com/nicknochnack

Happy coding!
pseudo

Ps Let me know how you are and drop a comment if you need a helping hand!

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