Predictive Machine Learning Project

Repository for Coursera Practical Machine Learning course project

Estimate the house prices in King County, Washington

Trying to apply my data science knowledge, this time to a smaller dataset

These are all my assignments from Statistical Analysis with R (a course I took at Bryant University). The assignments include data visualization, data cleaning and manipulation, modeling, creating functions and loops, and making packages. The major packages used are "ggplot2", "caret", "rpart", and "rattle", although there are others used as well.

Data Science Track - Coursera; (11/21/17 used for Getting and Cleaning Data Project Submission)

A classification analysis of data from the Weight Lifting Exercises (WLE) dataset which uses machine learning to predict whether a weightlifting activity was being performed correctly

This repository has demo code for showing how to train models with caret and use a customised accuracy metric to select models

Data Analytics

Use of Machine Learning and geostatistics to predict house's prices.

[R Studio] Simple Statistical Learning exercise studying a British Election Survey in 2002

A quick reference guide for creating prediction models using R caret.

A Snakemake pipeline to run many different machine learning algorithms in parallel using the Caret package.

📚 Notes from a bookclub's weekly exploration of Applied Predictive Modeling

Machine Learning Archive

This study investigates the quality of exercise using the machine learning algorithms and classifies into varying degrees of effectiveness compared to standard practices. The exercise analyzed is dumbbell pull-ups.

My Code Repository for Coursera Data Science Specialization by John Hopkins University