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
Learn Machine Learning with machine learning tutorials for beginners, ml practicals, ml excerices, Machine Learning Projects, Interview Questions
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.
A template for every machine learning project
A complete and in-depth machine learning resource containing detailed notes, mathematical explanations, Python code, and Jupyter notebooks., and lectures.
contains the content related to ML
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.
📓 Making predictions from the MNIST dataset using TensorFlow and Keras
LangChain and LangGraph Hands-on Tutorial: 20+ practical use cases progressing from basic concepts to advanced agent architectures
Covalent tutorial for MLOps 2022
An introduction to encoder-decoder models through a complex CNN architecture
Models, templates and scripts
This repository contains demos I made with the Transformers library by HuggingFace.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Learn K-Means clustering on the Iris dataset with clear code, charts, and step-by-step guidance for beginners
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