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.
R codes for common Machine Learning Algorithms
Training and tuning of SVM kernels using the classic MNIST dataset in R
Loan Default Prediction, Individual Level Loan Data, Machine Learning, Logistic regression, Ridge, LASSO, Gradient Boosting, SVM, Random Forest
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
R exercises (2016)
Project for IST687 Applied Data Science- School of Information Studies, Syracuse University
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
Shiny app que emplea SVM sobre datos de entrenamiento
Nations Flags Classification & Clustering project. 🎏
Purpose of this project is to implement machine learning algorithms and to compare their performances on a real data set.
Real-time appliance level load separation from total power usage.
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.
Case Study Based on Human Activity Recognition Using Smartphones Dataset
Text Classification Using different algos(SVM,) and DIfferent Package -e1071,caret ,tm and pander
Machine Learning competition on kaggle.org. 88% accuracy with Support Vector Machine algorithm. Deep Learning with keras. Middle table rank position
Six machine learning models for predicting bladder cancer progression using Caret package
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