Python code for common Machine Learning Algorithms

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

SDN networks (Software Defined Networking ) are exposed to new security threats and attacks, especially Distributed Denial of Service (DDoS) attacks. For this aim, we have proposed a model able to detect and mitigate attacks automatically in SDN networks using Machine Learning (ML)

A simple, modern and scalable facial recognition based attendance system built with Python back-end & Angular front-end.

Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied

Machine learning model for Credit Card fraud detection

Heart disease prediction and Kidney disease prediction. The whole code is built on different Machine learning techniques and built on website using Django

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น

Transfer Learning for Image-Based Malware Classification

Computer Vision - Impemented algorithms - Hybrid image, Corner detection, Scale space blob detection, Scene classifiers, Vanishing point detection, Finding height of an object, Image stitching.

Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.

A repository of resources for understanding the concepts of machine learning/deep learning. 

Face recognition using dlib and kNN classification (ROS compatible)