Dataflow Programming for Machine Learning in R
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Updated
Sep 17, 2024 - R
Dataflow Programming for Machine Learning in R
EDA and classification predictions of airline satisfaction using R
Decision Trees, Bagging and Boosting
Exploratoy Data Analysis,Logistic Regression,Penalized Logistic Regression (LASSO), LDA, Decision Trees, Bagging, Random Forest
This is where I'll post my machine learning templates that I've created
Group project during STAT 228 (Multivariate Data Analysis)
Parkinson’s disease classification using speech signal features; comparison of various multiclass classification algorithms
2019.12.18 개인프로젝트. 통신사 고객들의 이탈 예측
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)
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) …
Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'
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?
Functions to help in model building and evaluation
This project compares multiple bagging and boosting methods for anomaly detection for the Gecco challenge.
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.
This repository contains various assignments that I have done as a part of the Machine Learning course.
This repository contains various classification, clustering and data analysis code.
Machine Learning exercises for my subject of Machine Learning at University of Granada (UGR).
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