Functions to help in model building and evaluation

This repository contains various classification, clustering and data analysis code.

Companion code for http://amunategui.github.io/bagging-in-R/

Exploratoy Data Analysis,Logistic Regression,Penalized Logistic Regression (LASSO), LDA, Decision Trees, Bagging, Random Forest

Parkinson’s disease classification using speech signal features; comparison of various multiclass classification algorithms

Group project during STAT 228 (Multivariate Data Analysis)

This project compares multiple bagging and boosting methods for anomaly detection for the Gecco challenge.

Decision Trees, Bagging and Boosting

Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'

This is where I'll post my machine learning templates that I've created

Data Analytics and Machine Learning in R. Linear-regression, Logistic-regression, Hierarchical-clustering, Boosting, Bagging, Random-forests, K-means-clustering, K-nearest-neighbors (K-N-N), Tree-pruning, Subset-selection, LDA, QDA, Support Vector Machines (SVM)

EDA and classification predictions of airline satisfaction using R

A data set of 30000 records and 24 variables containing information on defaults, demographic factors, credit data, delinquency, repayment and billed amounts of a credit card client in Taiwan from April 2005 to September 2005. The objective was to apply statistical, data visualization and Machine learning techniques (supervised and unsupervised) …

This repository contains various assignments that I have done as a part of the Machine Learning course.

Predict whether or not an employee will use Car as a mode of transport from given employee information about their mode of transport as well as their personal and professional details like age, salary, work exp. Also, which variables are a significant predictor behind this decision?

Machine Learning exercises for my subject of Machine Learning at University of Granada (UGR).

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.

Dataflow Programming for Machine Learning in R