Data analysis project for Tele2 Big Data Academy 2018

Exercises in Machine Learning with R

SJSU-Projects are those projects I applied machine learning algorithms or statistical methods on real data sets.

WMO Site Classification

Credit default risk data science competition.

Customer Churn Analysis using R & RStudio

Recognize the gender of a voice using random forests

Data Science in the Banking Industry [Volume 1]

A project to analyze restaurants in NYC to provide diners with a comprehensive guide on where to dine

A project of credit fraudulent detection in R using Machine Learning method.

Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification

App for predicting the source of news headlines (20min or NZZ)

This repository contains all my R scripts used for perform exploratory modelling on numerous public datasets.

Prediction of people's future financial situation based on ML algorithms

This project aims to analyze the heart failure dataset to build a classifier that identifies the most important factors and allows predicting death from heart failure.

R Programming, Regression, Classification, Neural Networks

5 analytical tasks have been completed using VAT validated gower-PAM clustering, Correspondence Analysis (CA), Asym-Biplot, Multiple Correspondence Analysis (MCA), Chi-Squared test, Regression, and predictive classification models with KNN, SVM, and Random Forest.

Objective of the repository is to learn and build machine learning models using Python for data Housing Median Price ( BostonHousing).