There are 2 repositories under machine-learning-course topic.
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.
Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.
Materials for Yandex Data School course "Applied Statistics in Machine Learning"
Learn Machine Learning with machine learning tutorials for beginners, ml practicals, ml excerices, Machine Learning Projects, Interview Questions
Machine Learning A-Z: AI, Python & R
An introductory Swahili course to building Machine learning Models with Python
My mini-projects for practical learning machine learning course on the Udacity
This GitHub repository hosts a bike rental demand prediction project. It utilizes Python libraries for data analysis and builds regression models to forecast demand based on various attributes. The project covers data preprocessing, exploratory analysis, and model evaluation.
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.
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.
🎓 Andrew Ng's machine learning course (matlab)
A semester course of machine learning AT Computer Science and Information Engineering in National Taiwan University.
Exercises, notes and insights from 'Master statistics & machine learning: intuition, math, code' udemy course.
This project predicted health insurance charges using two methods: Averaging and Linear Regression. Linear Regression delivered more accurate predictions, highlighting its superior performance.