Learn Machine Learning with machine learning tutorials for beginners, ml practicals, ml excerices, Machine Learning Projects, Interview Questions

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• Updated Nov 15, 2023

Beginner-friendly Machine Learning project explaining K-Means clustering on the Iris dataset with visualization, Elbow Method, and Silhouette Score. Step-by-step Jupyter Notebook tutorial.

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• Updated Mar 24, 2026
• Jupyter Notebook

A template for every machine learning project

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• Updated Apr 11, 2020
• Python

A complete and in-depth machine learning resource containing detailed notes, mathematical explanations, Python code, and Jupyter notebooks., and lectures.

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• Updated May 31, 2026
• Jupyter Notebook

Original Author link : https://github.com/charlesliucn/stars-collection

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• Updated May 31, 2019

contains the content related to ML

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• Updated Jul 15, 2021
• Python

Build, train, and understand neural networks in your browser — a six-chapter interactive curriculum on linear algebra, calculus, and backpropagation, paired with a live training playground. Pure TypeScript, runs entirely client-side.

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• Updated May 7, 2026
• TypeScript

📓 Making predictions from the MNIST dataset using TensorFlow and Keras

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• Updated Oct 12, 2019
• Jupyter Notebook

LangChain and LangGraph Hands-on Tutorial: 20+ practical use cases progressing from basic concepts to advanced agent architectures

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• Updated Feb 18, 2025
• Python

Covalent tutorial for MLOps 2022

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• Updated Jun 10, 2022
• Jupyter Notebook

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• Updated Nov 10, 2019
• Jupyter Notebook

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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• Updated Jan 7, 2025
• Jupyter Notebook

An introduction to encoder-decoder models through a complex CNN architecture

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• Updated May 21, 2026
• Python

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• Updated Apr 11, 2020
• Jupyter Notebook

Models, templates and scripts

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• Updated Nov 21, 2022
• Jupyter Notebook

This repository contains demos I made with the Transformers library by HuggingFace.

ml-tutorial

• Updated Jul 2, 2025
• Jupyter Notebook