Just a simple implementation of K-Nearest Neighbour algorithm.
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Updated
Sep 8, 2016 - Java
Just a simple implementation of K-Nearest Neighbour algorithm.
Verifying suitability of dysphonia measurements for diagnosis of Parkinson’s Disease using multiple supervised learning algorithms.
In this project i used many supervised learning algorithms available in scikit-learn, and also provided a method of evaluating, just how each model works and performs on a certain type of data.
Udacity Nanodegree - Machine Learning - Supervised Learning, Unsupervised Learning, and Reinforcement Learning
MLFND boston housing prices prediction project.
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
Finding Donor for CharityML - Machine Learning Nanodegree from Udacity
This repo is implementation of predicting terrorist attack globally using global terrorism database.
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
this project aims to be an easy and reusable way to use supervised machine learning techniques
Web Analytics: Twitter Project with Machine Learning and Deep Learning methodologies
LSVT classification algorithm
Scala routines to estimate classifications methods based on the Dataframe API machine learning classes.
Applied supervised learning techniques on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause.
Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income
Implementations of various Machine Learning Algorithms
CSE Final Year Project. Heart Disease Prediction using Supervised Learning namely - Logistic Regression, Naive Bayes, K-NN, Decision Tree and Random Forest. The Porject is done in Python.
Breast Cancer detection using machine learning.
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