machine-learning-course

knakamura13/cs7641-ml-study-materials-2023

A collection of study materials for OMSCS CS7641 Machine Learning.

egaoharu-kensei/ML-algorithms-from-scratch.-Course-for-beginners

ML-algorithms from scratch using Python. Classic Machine Learning course.

artonson/hse-applied-statistics-2018

Materials for HSE course "Applied Statistics in Machine Learning" taught during 2018.

artonson/ysda-asml-2018

Materials for Yandex Data School course "Applied Statistics in Machine Learning"

data-flair/Machine-Learning-Tutorial

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

aai-institute/tfl-training-practical-anomaly-detection

Repository of the Tranferlab Practical Anomaly Detection workshop

akram-elgh/AI_DataScience_course

Machine Learning A-Z: AI, Python & R

Kalebu/ML-with-Python

An introductory Swahili course to building Machine learning Models with Python

MahanPourhosseini/Credit-Risk-Prediction

This Jupyter Notebook focuses on credit risk prediction using a Random Forest Classifier. It covers data preprocessing, exploratory data analysis (EDA), model training, and handling class imbalance. Additionally, essential metrics such as precision, recall, F1-score, and confusion matrices are computed to evaluate the model's performance.

MahanPourhosseini/LA-Ozone-Concentration-Prediction

This project analyzes 1976 Los Angeles ozone and meteorological data, using linear regression in three stages: all features, the most correlated feature (temperature), and temperature-based data splitting. It underscores feature selection and data stratification's significance.

MahanPourhosseini/Metal-Nut-Defect-Detection

This repository hosts a case study on Transfer Learning aimed at improving the accuracy of metal nut inspection systems. The project explores the practical application of Transfer Learning methods to optimize quality control in the manufacturing industry, providing valuable insights into their effectiveness and potential benefits.

MahanPourhosseini/Water-Treatment-Plant

This GitHub repository houses a water treatment plant classification project. Leveraging Python and machine techniques, it categorizes the plant's operation state using sensor data. The project covers data preprocessing, EDA, model training, and hyperparameter tuning, highlighting expertise in data science, ML, and data visualization.

Pavith19/Top-Free-IT-Courses

This collection provides an extensive list of free online courses for IT students, developers and enthusiasts.

sahmel/fall2019

Material for the BIOF509 course on Applied Machine Learning with Python

theed-ml/notebooks

Machine Learning Jupyter Notebooks

wlodpawlowski/machine-learning-udacity

My mini-projects for practical learning machine learning course on the Udacity

KsaweryKapela/Master_Statistics_Course

Exercises, notes and insights from 'Master statistics & machine learning: intuition, math, code' udemy course.

MahanPourhosseini/Bike-Sharing-Trends

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.

MahanPourhosseini/Body-Fat-Prediction

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.

MahanPourhosseini/Breast-Cancer-Gene-Expression-Analysis

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.

MahanPourhosseini/Health-Insurance-Charges-Prediction

This project predicted health insurance charges using two methods: Averaging and Linear Regression. Linear Regression delivered more accurate predictions, highlighting its superior performance.

MahanPourhosseini/News-Classification

This repository includes an NLP (Natural Language Processing) project that focuses on text classification for news articles sourced from an Iranian newspaper. It encompasses various stages of the NLP pipeline, including data exploration, text preprocessing, vectorization, train-test data splitting, and machine learning model training.

njoppi2/andrew-ng-old-matlab-machine-learning-course

🎓 Andrew Ng's machine learning course (matlab)

omarragi9/Deep-Learning-from-the-Foundations

KevinTsaiCodes/NTU-CSIE5043

A semester course of machine learning AT Computer Science and Information Engineering in National Taiwan University.