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Josh Forster

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Data624: Homework 9
Tree Based Models Analysis
Data624: Homework 8
Evaluating Non-linear models in R
Data624 HW7
Evaluating regression methods that penalize correlation
Data624: Project 1
Time series modeling for ATM withdrawals and Energy Usage
Data624: Homework 6
ARIMA homework for Predictive modeling
Data624: HW5
Exponential Smoothing Models of time series data
Data624 Homework 4
Preliminary analysis for Applied Predictive Modeling textbook
Data624: HW3
Basic Forecasting methods with FPP3
Data624: Homework 2 Decomposition
Practice exercises for decomposition of time series datasets
Data624: Homework 1
Initial Time Series Exploration with FPP3 on various tsibble datasets
Data621: HW1 Submitted
Finalized HW1 modified for typos and grammatical errors
Data621: HW1
HW1 Submission Draft: Multiple Linear Regression analysis of team baseball performance
Data605: Final Exam
Data 605: Assignment 14
Taylor Series Expansion
Data605: HW13
Practicing calculus fundamentals in R
Data605: HW12
Multiple Linear Regression modeling
Data605: Discussion 12
Applying a multiple linear regression model using dichotomous and interaction terms to test different model assumptions
Data605: HW11
Running SLR for the built-in R data set
Data605: Discussion 11
Running SLR on a department of sanction dataset from OpenData NYC
Data605: HW10
Gambler's ruin and application of markov chain's for random walk problem
Data605: HW9
Central Limit Theorem Normal Approximation and Moment Generating Functions
Datat605: HW8 Law of Large Numbers
Reviewing Chebyshev's inequality to approximate probability bounds for any distribution function of a random variable e>0
Data605: HW7
Probability Distributions Homework
Data605: HW6
Combinatorics chapter on permutations and combinations
Data605: HW5
Problems related to continuous/probability density functions
Data602: HW4
Calculating the eigenshoe of 17 shoe images
Data607: Final Project Analysis
Immigration statistics scraped for US states to compare how employment is impacted.
Datat 607: Assignment Sentiment Analysis
The markdown uses Tidytext R package and documentation to demonstrate pre-trained sentiment models on Jane Austen novels as well as a Stanford movie review dataset
Tinder Content Recommendation Engine
Discussion post for Data607 on Recommendation Systems
Data 606: Lab 8 Linear Regression
Basic exploration of Linear Regression models
Data606: Final Project Proposal
Final Project Proposal: Regression analysis and statistical testing of graduate majors and their respective salaries
Data607: Tidyverse Create
Basic Vignette explainers for tidy verse functions
Data607: Assignment 8
Connecting to APIs: testing out R frameworks for connecting to NY Times book api
Data 607: Assignment 7
Working with web based file formats: XML, HTML, and JSON
Data607: Project 2
The second project of the Data607 course
Assignment 6: Tidying Data
Cleaning and tidying a simple flight aggregation dataset
Data 607: Project 1
Txt file parsing for cleaning semi-structured data in a non-delimited file of chess tournament results
Data 607: Assignment 3
Displaying different tidy verse string manipulation functions and common regex patterns to identify and parse character text and vectors
Windows Functions
Using dplyr and Rcpproll to calculate window functions for more complex calculations
Data607: Assignment 1
Transformation of dataset from FiveThirtyEight article and published posted dataset
R_BRIDGE_HW3
Final project for CUNY Bridge Course
R_BRIDGE_HW_2
Completed CUNY R Bridge homework assignment
R_BRIDGE_HW1
Solutions for the R_BRIDGE Class for CUNY Master's of Data Science
Bridge Week 1 Practice Work
Different preparation work for the first week of R Bridge Course