knn-classification
There are 1857 repositories under knn-classification topic.
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
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.
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,
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)
codeglitchz/attendance-system
A simple, modern and scalable facial recognition based attendance system built with Python back-end & Angular front-end.
MrKhan0747/Diabetes-Prediction
Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied
sahidul-shaikh/credit-card-fraud-detection
Machine learning model for Credit Card fraud detection
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
pratikpv/malware_classification
Transfer Learning for Image-Based Malware Classification
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.
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.
mrlathome/faceutils
Face recognition using dlib and kNN classification (ROS compatible)
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)
SudhakarKuma/Machine_Learning
A repository of resources for understanding the concepts of machine learning/deep learning.
kr-viku/GLAUCOMA-DETECTION
AUTOMATED TYPE CLASSIFICATION OF GLAUCOMA DETECTION USING DEEP LEARNING
Giulianini/Jestures
A simple framework for gesture recognition in Java
tonio73/data-science
Notebooks and Python about data science
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)
jlolivaresp/Tesis
Data driven fault detection in chemical processes: Application to Tennessee Eastman Plant
rahul-38-26-0111-0003/Network-based-Intrusion-Detection-Systems
Final Year project based upon Network Intrusion Detection System
anukalp-mishra/Resume-Screening
Machine Learning Project on Resume Screening using Python
niki864/Simple-Stock-Predictor-xgboost-knn-
Stock prediction using xgboost and knn classification done in R
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.
JerryWeiAI/COVID-Q
COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"
TeFuirnever/Kaggle-Digit-Recognizer
🚀【Kaggle】Digit Recognizer代码和数据集 (Score 99.5%/99.91%/100%) ⛳
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.
brainhack-school2020/ADHDsubtypes_project
ADHD subtypes classification project with 3 different datatypes