Plain python implementations of basic machine learning algorithms
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Updated
May 21, 2024 - Jupyter Notebook
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
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.
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.
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…
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
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.
K-Nearest-Neighbors
Diverse algorithms related to Machine Learning
Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms.
This project focuses on classifying listeners of a music website into adopters and non-adopters
DP-kNN: Short-Term Traffic Forecasting Using Self-Adjusting k-Nearest Neighbours
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.
Using classic machine learning models - K-NN, Multiclass Logistic Regression, SVM and Random Forest to make predictions
CS480F at Binghamton University with Dr. Ken Chiu
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