Applied Predictive Modeling: Linear Regression and it's Cousins Presentation Presentation for the CUNYSPS DATA624 Class Predictive Analytics

CUNYSPS DATA605 Discussion Week#15 problem set

CUNYSPS DATA605 Discussion Week#14 problem set

CUNYSPS DATA605 Discussion Week#13 problem set

Data 605 Week 12 Regression Analysis in R: Multiple Regression in examining Medical Data from Kaggle.com

Data 605 Week 11 Regression Analysis in R: Examining Power-lifting Data from Kaggle

CUNYSPS DATA605 Discussion Week#10 problem set

CUNYSPS DATA605 Discussion Week#9 problem set

CUNYSPS DATA605 Discussion Week#8 problem set

CUNYSPS DATA605 Discussion Week#7 problem set

CUNYSPS DATA605 Discussion Week#6 problem set

CUNYSPS DATA605 Discussion Week#5 problem set

CUNYSPS DATA605 Discussion Week#4 problem Set

CUNYSPS DATA605 discussion board week 3 problem set

CUNYSPS DATA605 Discussion Week#2 problem Set

Final Project using multiple regression to predict overall scores of school progress in NYC from 2006-2007

Problem 8.3 of the OpenIntro Statistics book for the use of presenting from a practice homework problem set.

Final Project - Examining Baseball Players who Took PED's CUNY SPS Fall 2016 IS607 Final Project

Working With New York Times Community API

This assignment is for Week 7 of the CUNY SPS Masters in Data Analytics online class IS607 that shows how to read data in different formats and see if the datasets are the same or what makes them different

Project 2 assignment for the CUNY SPS Fall 2016 IS607 course Data Acquisition and Management

Tidying and Transforming data - using the dplyr and tidyr packages to clean and make a dataset tidy.

Assignment for analyzing and parsing Chess Tournament Data and once all the data is retrieved and clean and tidy, export to a .csv file

Week 3 Assignment for CUNY SPS IS607 Class Fall 2016

Week 4 EDA Assignment on Solar Photovoltaic Incentive Program data beginning in 2010. Assignment is for week 4 assignment in CUNY SPS Online MS in Data Analytics R Bridge Workshop Summer 2016

Report on How Weather Events since the 1950's in the United States have damaged people physically and financially.