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Predicts rain based on neural networks (logistic regression) using PyTorch with real-world weather data.

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Predicting-Rain-in-Austrailia-NN

keywords: PyTorch, Google Colab Notebook, logistic regression, relu, Adam optimizer, 3-layers

This repo involves is a guide for beginners through a simple Neural Network Model that could predict (logistic regression) if it would rain tomorrow in a city (provided data: Austrailia).

Dataset: https://www.kaggle.com/jsphyg/weather-dataset-rattle-package

The code is learned from the blog on Curiousily by Venelin Valkov. I strongly recommend to check it out for more clarification: https://curiousily.com/posts/build-your-first-neural-network-with-pytorch/

The notebook is easy to follow and involves comments and links for the beginners to follow.

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Predicts rain based on neural networks (logistic regression) using PyTorch with real-world weather data.

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