Join us on an epic journey into the world of machine learning and Pokémon as we build a binary classification model that can determine whether a Pokémon is legendary or not.
In the first part of this series, we'll cover data cleanup, pre-processing, and the creation of a dataset class using the PyTorch API. By the end of this video, you'll have the tools and knowledge you need to start building your own Pokémon classifier. Let's get started!

🌐 Links for Data 🌐
https://www.kaggle.com/datasets/rouna...

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================== Timestamps ================
00:00 - Intro
00:32 - Important modules
01:41 - Analyzing data
05:05 - Cleaning the data
08:34 - Train and Test Split
10:00 - What is 'stratify'
12:12 - Example input and output
13:25 - Pre-processing: Standardization
14:50 - Dataset class
17:03 - Outro
=============================================

#ai #python #tutorial