R & Python Projects

An implementation of of the CART-ANOVA algorithm for regression trees in Python

My approach and solution

Analytics Vidya practice dataset for loan prediction

Analyze performances of Pokemon using R.

an analysis was conducted on the Wine Data to discern the factors that play a pivotal role in determining the quality of wine. An exploration of the correlations between these attributes and the overall wine quality was undertaken, while considering the interplay with other relevant factors

Transferring Performance Prediction Models Across Different Hardware Platforms. Трансфер моделей прогнозирования производительности между различными аппаратными платформами

This repository houses small projects (R and Python) exploring Machine Learning methods and algorithm description & implementation. Larger ML projects are housed in the Projects Repo.

Decision tree classifier to predict the right classes of the observations in the 'Iris' data set.

This project about the fitting a classification tree to the housing data sing R package rapart.

Team 3

Data analysis for Income-based on occupation

MathSuccess - it is a dataset of 2600 rows containing student info and if they passed a highly competitive Math Class. I used 5 models to compare its accuracy in R-Studio. Models Used : ctree, rpart, svm, randomForest, nnet

Empirical Comparison of Regression Methods for Variability-Aware Performance Prediction. Эмпирическое сравние регрессионных методов для предсказания производительности конфигурируемых систем

Datamining en Economía y Finanzas - Churn Prediction - Trabajo Práctico 1

Custom implementation of Random Forest based on rpart library.

Nations Flags Classification & Clustering project. 🎏

Classification And Regression Trees and Random Forest with applications to Big Data - course