Plain python implementations of basic machine learning algorithms

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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.

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

Driver drowsiness is one of the causes of traffic accidents. According to the statistics; highway road crashes hold 11.09% of the total number of accidents. There are several reasons of drowsy driving such as: a lack of quality of sleep, may be overnight driving or having sleep disorders e.g. sleep apnea. However; all people should know that: Pe…

Tour of Machine Learning Algorithms for Binary/Multiclass Classification

A robust classifier for few-training-data problem based on a distributionally robust optimization framework

Nearest neighbor search. Methods: LSH, hypercube, and exhaustive search. C++

TFG realizado en la Universidad de Burgos del desarrollo de una aplicación para el uso de un Radar de 60 GHz de la marca Acconeer.

GeoAdEx: A geometric approach for finding minimum-norm adversarial examples on k-NN classifiers

Web interactive streamlit dashboard for credit scoring interpretation

PyTorch implementation of following: Transfer Learning, Feature Extraction from deep network, k-NN

Diverse algorithms related to Machine Learning

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

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.

Built a voice-controlled car from scratch incorporating machine learning methods such as the Euclidean Classifier and k-NN Classifier, open and closed loop feedback control systems, principal component analysis, regression analysis, and transient analysis

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