📌 1. Compute the Mahalanobis distance from a centroid for a given set of training points. 2. Implement Radial Basis function (RBF) Gaussian Kernel Perceptron. 3. Implement a k-nearest neighbor (kNN) classifier

Data Mining Algorithms with C# using LINQ

CSE601 Course Projects - Fall 2017

Deep Learning breast histology microscopy image recognition using Convolutional Neural Networks

Sentiment Analysis of Foreigners against Indonesian Language

Machine Learning Algorithms

An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.

Exploratory Data Analysis of MNIST dataset

Credit Card Fraud Detection using KNN and K-means

implement the machine learning algorithms by python for studying

Sentiment analysis on Rotten Tomatoes Dataset

Demo for KNN(K-Nearest Neighbor) & Iris module(a classical test) in data analysis in Python

Classify candidate exoplanets using various machine learning models like Random Forest, KNN, Logistic Regression and SVM

Adversarial Examples on KNN (and its neural network friends)

Syracuse University, Masters of Applied Data Science - IST 736 Text Mining

Advertisement Click detection using Kaggle data

Check out the projects that I have made using scikit-learn.

Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.

Maching Learning Project : A classification problem using K Nearest Neighbor(KNN), Decision Tree, Support Vector Machine, and Logistic Regression algorithms