knn-classification

krishnakumarsekar/awesome-quantum-machine-learning

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

neeru1207/AI_Sudoku

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

jayshah19949596/Machine-Learning-Models

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

ahmetozlu/color_recognition

:art: 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.

Piyush-Bhardwaj/EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning

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.

chiragbiradar/DDoS-Attack-Detection-and-Mitigation

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)

hhhrrrttt222111/DS_and_ML_projects

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

Mayurji/MLWithPytorch

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

rsk97/Diabetic-Retinopathy-Detection

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

codeglitchz/attendance-system

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

sahidul-shaikh/credit-card-fraud-detection

Machine learning model for Credit Card fraud detection

MrKhan0747/Diabetes-Prediction

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

VenkateshBH99/Heart-and-Kidney-disease-prediction-Django

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

kongruksiamza/MachineLearning

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น

Abhishekmamidi123/Computer-Vision

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

pratikpv/malware_classification

Transfer Learning for Image-Based Malware Classification

shr1911/Tourism-Recommendation

• Proposed system enhances user experience by providing a recommendation in travel domain more specifically for food, hotel and travel places to provide user with various sets of options like time based, nearby places, rating based, user personalized suggestions, etc.M RECOMMENDATION METHODS : • Near-by Recommendation Algorithm - KNN Algorithm • Rating based and Price based Recommendation Algorithm - K-Means algorithm • User personalized recommendation Algorithm - Classification - Decision tree using Gini index • Time based Recommendation Algorithm - Using Data Mining Technology - Python, Django Framework, ML Algorithms, Graphlab Ipython (For Proof of Concept)

anukalp-mishra/Resume-Screening

Machine Learning Project on Resume Screening using Python

Piyush-Bhardwaj/Breast-cancer-diagnosis-using-Machine-Learning

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.

kr-viku/GLAUCOMA-DETECTION

AUTOMATED TYPE CLASSIFICATION OF GLAUCOMA DETECTION USING DEEP LEARNING

jrothschild33/Fudan-DataMining

2020 Spring Fudan University Data Mining Course HW by prof. Zhu Xuening. 复旦大学大数据学院2020年春季课程-数据挖掘（DATA620007）包含数据挖掘算法模型：Linear Regression Model、Logistic Regression Model、Linear Discriminant Analysis、K-Nearest Neighbour、Naive Bayes Classifier、Decision Tree Model、AdaBoost、Gradient Boosting Decision Tree(GBDT)、XGBoost、Random Forest Model、Support Vector Machine、Principal Component Analysis(PCA)

SudhakarKuma/Machine_Learning

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

mrlathome/faceutils

Face recognition using dlib and kNN classification (ROS compatible)

pritom007/Network-Traffic-Classification

rahul-38-26-0111-0003/Network-based-Intrusion-Detection-Systems

Final Year project based upon Network Intrusion Detection System

sayaliwangane/INTELLIGENT-CAREER-GUIDANCE-SYSTEM

Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.

thedevstone/Jestures

A simple framework for gesture recognition in Java

tonio73/data-science

Notebooks and Python about data science

jlolivaresp/Tesis

Data driven fault detection in chemical processes: Application to Tennessee Eastman Plant

niki864/Simple-Stock-Predictor-xgboost-knn-

Stock prediction using xgboost and knn classification done in R

TeFuirnever/Kaggle-Digit-Recognizer

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

brainhack-school2020/ADHDsubtypes_project

ADHD subtypes classification project with 3 different datatypes

devrajkataria/Credit-Card-Fraud-Detection-ML-WebApp

yogeshwaran-shanmuganathan/Airline-Passenger-Satisfaction

Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.

JerryWeiAI/COVID-Q

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