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45 public repositories
matching this topic...
Plain python implementations of basic machine learning algorithms
Updated
Oct 7, 2019
Jupyter Notebook
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]
Updated
Oct 9, 2019
Jupyter Notebook
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Updated
May 21, 2020
Python
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.
Updated
Mar 3, 2019
Python
A C implementation of "Efficient K-Nearest Neighbor Graph Construction for Generic Similarity Measures"
CNIT 581-ATR Fall 2017 – Smart Cane Team: Wonse Jo and Shyam Sundar Kannan
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.
Updated
Dec 19, 2018
Jupyter Notebook
Diverse algorithms related to Machine Learning
Updated
Feb 15, 2017
MATLAB
Tour of Machine Learning Algorithms for Binary/Multiclass Classification
Updated
Sep 16, 2019
Jupyter Notebook
Updated
Mar 28, 2017
Jupyter Notebook
A basic fruit sorter using k-means and k-nn.
Updated
Mar 4, 2020
Jupyter Notebook
a machine learning training project
Updated
Dec 6, 2019
Python
Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms.
Updated
Jan 8, 2019
Jupyter Notebook
Data Science, Algorithms, Notes, Learn
Updated
Oct 28, 2017
Jupyter Notebook
Using classic machine learning models - K-NN, Multiclass Logistic Regression, SVM and Random Forest to make predictions
Updated
Apr 5, 2018
Jupyter Notebook
Machine Learning : Applied KNN on Breast Cancer data to find the result
Updated
Jun 9, 2018
Jupyter Notebook
This project focuses on classifying listeners of a music website into adopters and non-adopters
Updated
Mar 31, 2017
Jupyter Notebook
Updated
Nov 13, 2017
Python
Breast cancer data analysis and machine learning
Updated
Dec 25, 2017
Jupyter Notebook
Breast Cancer Prediction using K-NN, Machine Learning/Artificial Intelligence Algorithm on Python sckilearn
Updated
Feb 8, 2019
Python
Implementazione in R - C++. Progetto per il corso di Metodi Statistici per l'apprendimento.
Implementation of the k-nearest neighbor algorithm
Updated
Mar 9, 2020
Jupyter Notebook
E-Commerce Customer Brand Preference Investigation based on k-NN and Random Forest prediction
Updated
Jun 20, 2019
Python
I am partaking in research with my professor Dr. Boxiang Dong at Montclair State University in using deep learning techniques for anomaly detection. This project is to help with that research, specifically in implementing Machine Learning classifiers and more.
Updated
Apr 10, 2019
Python
This is a repository for implementing statistical learning models from scratch using the Python and Java programming languages.
Updated
Jun 10, 2018
Java
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