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

🎨 Color recognition both on a webcam stream in real-time, on video and on a single image using K-Nearest Neighbors Machine Learning classification algorithm is trained with Color Histogram Features.

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

Predicting the winner of 2019 cricket world cup using random forest algorithm

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.

Face recognition using dlib and kNN classification (ROS compatible)

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

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

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

A simple framework for gesture recognition in Java

Stock prediction using xgboost and knn classification done in R

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM AND KNN

Face Recognition Project made in Machine Learning using KNN algorithm and open cv for python

🚀【Kaggle】Digit Recognizer代码和数据集 (Score 99.5%/99.91%/100%) ⛳

COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

This is a jupyter notebook with 8 different solutions for common problems of digital image processing, including object recognition and binarization using adaptative threshold.

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.

Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje de señas colombiano basado en redes neuronales (perceptrones), soporte de máquina vectorial y K-vecino más cercano para clasificador

Diabetes Prediction is my weekend practice project. In this I used KNN Neighbors Classifier to trained model that is used to predict the positive or negative result. Given set of inputs are BMI(Body Mass Index),BP(Blood Pressure),Glucose Level,Insulin Level based on this features it predict whether you have diabetes or not.

Machine Learning Workshop

Python implementation of basic machine learning algorithms

Iris classification project with @Neelesh7544

Implement KNN classification algorithm in Python

What is knn? How is knn done? Why is knn needed?

This are my basic projects build from scratch, I have used Python for programming.

A Java implementation of the k-nearest neighbors algorithm

Legacy OpenCV Machine Learning Examples (2.4.x, C++)