Plain python implementations of basic machine learning algorithms

Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

C++ library of k-nearest neighbors algorithm (k-NN), faster because uses Armadillo lib

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

A C implementation of "Efficient K-Nearest Neighbor Graph Construction for Generic Similarity Measures"

Tour of Machine Learning Algorithms for Binary/Multiclass Classification

Clasificador de imagenes de bananas, naranjas y limones por medio de algoritmos de aprendizaje K-nn y K-means. Procesado de imágenes con SciKit y OpenCV.

Diverse algorithms related to Machine Learning

K-Nearest-Neighbors

A basic fruit sorter using k-means and k-nn.

Comparing and finding the best model to predict the Status of a Loan Application.

a machine learning training project

Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms.

CNIT 581-ATR Fall 2017 – Smart Cane Team: Wonse Jo and Shyam Sundar Kannan

Data Science, Algorithms, Notes, Learn

Using classic machine learning models - K-NN, Multiclass Logistic Regression, SVM and Random Forest to make predictions

Machine Learning : Applied KNN on Breast Cancer data to find the result

E-Commerce Customer Brand Preference Investigation based on k-NN and Random Forest prediction

同色选取算法——2018-11-27

Breast cancer data analysis and machine learning

Breast Cancer Prediction using K-NN, Machine Learning/Artificial Intelligence Algorithm on Python sckilearn

Implementazione in R - C++. Progetto per il corso di Metodi Statistici per l'apprendimento.

Implementation of the k-nearest neighbor algorithm

Analysis & Prediction of Breast Cancer Diagnostic Data Set using Machine Learning

Building a model for identifying potential Enron fraudsters based on financial and e-mail data with the use of Python. From data exploration to building and validating an algorithm.

Unstructured text data modeling and cluster visualization with Java