Hands-on ML with PyTorch: Linear Regression Tutorial with EDA, Normalization & Prediction

Описание: Welcome to the first episode of Hands-on ML with PyTorch – a practical series designed to teach machine learning through real coding experience!

In this video, we dive into implementing linear regression using PyTorch in Python. You'll learn the complete process step-by-step: loading and exploring data, performing EDA (Exploratory Data Analysis), normalizing inputs, defining a PyTorch model, training it, and making real-world predictions.

We use a simple house price dataset to help you intuitively understand the concepts of regression and model evaluation. Whether you're just starting out or brushing up your ML skills, this hands-on tutorial will give you a solid foundation in both PyTorch and machine learning workflows.

By the end, you'll not only have a working model but also a deeper understanding of how to build and test ML solutions using PyTorch.