Degree College (St. Xaviers) Automated Attendance (Capstone) Project.
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Updated
Aug 18, 2014 - C++
Degree College (St. Xaviers) Automated Attendance (Capstone) Project.
Handwritten-Grocery-List-Detection
Just a simple implementation of K-Nearest Neighbour algorithm.
Inteligência Artificial (UTFPR)
K nearest neighbor implementation
Problems Identification: This project involves the implementation of efficient and effective KNN classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
Code for the PR lab course DTU
k-nearest neighbors algorithm (k-NN) used for classification of school kids
Identifying Image Orientation using Supervised Machine Learning Models of k-Nearest Neighbors, Adaboost and Multi-Layer Feed-Forward Neural Network trained using Back-Propagation Learning Algorithm
Analysis and Prediction of Poker Hand Strength
An MPI based implementation of K-NN search algorithm, aimed for use on CPU clusters.
Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using Python
Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using R
KNN Implementation in Java
Classification data using K-Nearest Neighors.
Machine Learning Recipes 😇 Datasets used here are available at Kaggle
Image Classification pipeline for CIFAR-10 dataset based on K-NN, Svm, Softmax and 2-layer Neural Net Classifiers
This repository contains code for recommendation engine. This recommendation engine is for recommending books.
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