A parallel implementation of the well-known data mining algorithm KNN in C++.
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Updated
Oct 20, 2015 - C++
A parallel implementation of the well-known data mining algorithm KNN in C++.
Trying various machine learning method, it has the data set. Welcome to pull request
Applying Machine Learning Algorithms using R, Python, and RapidMiner
This script compares the accuracy of both KNN and Decision Tree and visualizes the same.
Classification system to precisely identify human fitness activities.
Master's machine learning projects
recognize the digits basic on sklearn, keras and pytorch
More details about the dataset, including algorithms that have been tried on it and their levels of success, can be found at http://yann.lecun.com/exdb/mnist/index.html. The dataset is made available under a Creative Commons Attribution-Share Alike 3.0 license.
my solution to the third computer assignment of my intelligent systems course on the topic of clustering
Machine learning model to predict the number of food-borne illnesses that might occur in a state in USA
This repository contains the final project for the course CS240A-Databases and Knowledge Bases that I took at UCLA.
Customer Segmentation using RFM
A collection of different classification techniques done on iris-dataset
Preditor de Sexo baseado em Peso e Altura e um identificador de dígitos usando KNN
Used Machine Learning and time series forecasting to help Japanese restaurants predict their daily visitor frequency for the next 2 weeks using restaurant reservation data from HPGReserve and AirREGI.
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