Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
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Updated
Jun 1, 2024 - R
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
A document covering machine learning basics. 🤖📊
The Fashion-MNIST dataset and machine learning models.
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
Archived repo - This R Package is not developed anymore (only maintenance). It was replaced by R package rchemo
Лабораторные работы по предмету "Системы и методы принятия решений"
R codes for common Machine Learning Algorithms
Code to do MFCC feature extraction on gibbon calls and use LDA/SVM for classification
The feature of interest is whether or not a customer buys a caravan insurance, based on socio-demographic factors and ownership of other insurance policies; and to build profile of a typical customer.
Analysis and transport mode classification of the GeoLife GPS Trajectories Dataset
Nations Flags Classification & Clustering project. 🎏
Machine Learning exercises for my subject of Machine Learning at University of Granada (UGR).
Predicting NBA results with Machine Learning models.
Analytical tool to help the company decide whether the employee will stay or not
Stock Portfolio Performance by Weighted Stock Selection - The project quantitatively predicts the factors that must be given the most and least weights to obtain obtain the highest returns, risk and win-rates while developing a S&P500 portfolio
Application of Decision Tree C5.0, Random Forest, K-NN, Artificial Neural Network, Naive-Bayes algorithms in a Project using R
Using Machine Learning tools to predict a patient's diagnosis from biopsy data
Training and tuning of SVM kernels using the classic MNIST dataset in R
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