Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced
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Updated
Aug 15, 2024
Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced
A collection of study materials for OMSCS CS7641 Machine Learning.
ML-algorithms from scratch using Python. Classic Machine Learning course.
Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.
Learn Machine Learning with machine learning tutorials for beginners, ml practicals, ml excerices, Machine Learning Projects, Interview Questions
Repository of the Tranferlab Practical Anomaly Detection workshop
Materials for Yandex Data School course "Applied Statistics in Machine Learning"
This collection provides an extensive list of free online courses for IT students, developers and enthusiasts.
An introductory Swahili course to building Machine learning Models with Python
My React/Gatsby all-in-one website and DS/ML course platform designed and written completely from scratch & with love
Machine Learning A-Z: AI, Python & R
Material for the BIOF509 course on Applied Machine Learning with Python
🎓 Andrew Ng's machine learning course (matlab)
Machine Learning Jupyter Notebooks
My mini-projects for practical learning machine learning course on the Udacity
This project repository comprises an exploratory data analysis (EDA) of the "Breast Cancer Gene Expression Profiles (METABRIC)" dataset, employing Python libraries for data manipulation and visualization. It includes data loading, preparation, and EDA tasks, aiming to gain insights into breast cancer data.
This project predicted health insurance charges using two methods: Averaging and Linear Regression. Linear Regression delivered more accurate predictions, highlighting its superior performance.
A semester course of machine learning AT Computer Science and Information Engineering in National Taiwan University.
This repository predicts body fat percentage using Lasso and Ridge regression models. It compares their accuracy and performance metrics, offering detailed code and model evaluations in the Jupyter Notebook.
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