Hands-on ML with PyTorch: Linear Regression Tutorial with EDA, Normalization & Prediction
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.
Видео Hands-on ML with PyTorch: Linear Regression Tutorial with EDA, Normalization & Prediction канала LearningHub
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.
Видео Hands-on ML with PyTorch: Linear Regression Tutorial with EDA, Normalization & Prediction канала LearningHub
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30 мая 2025 г. 15:52:46
00:06:39
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