Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

Predicting Bike Rental Demand using Linear and Non-linear Regression Models

Project using multiple linear regression to model prices of houses in Ames, IA.

An analysis into the Boston Marathon 2016

with Kaggle data

This repository contains all the projects/case studies done using Machine Learning methods. This is in conjunction with another repository. Difference being that R would be the main software used here

R Project

Data for M5 Walmart Kaggle Competition

Accompanying code for the paper titled Anti Discrimination Laws AI and Gender Bias A Case Study in Nonmortgage Fintech Lending

R-Shiny App for the Kaggle Data Science Survey 2017 ( with Salary Estimation )

[STAT 35000] A statistical analysis of the data pulled from the Google Play app store.

Practice project using Kaggle competition data on NYC Taxi Trips

This repository serves as a comprehensive resource for individuals interested in exploring the intricacies of cleaning and analyzing used cars datasets. By delving into the provided scripts and datasets, users can gain valuable insights into the world of used cars and understand the methodologies employed to ensure data accuracy and reliability.

Shiny application displays descriptive statistics and data analysis of Kaggle suicide data.

Assignment

Analyzed the Spotify dataset on Kaggle to predict the song and genre features and ideal release month to maximize the popularity of the song on Spotify using logistic regression, K-means clustering and classification trees.

An implementation of decision trees in R

predicted traffic volume 15 minutes ahead by applying SARIMA and ARMAX models on traffic flow data