Final Project: Probability, conditional probability, correlation matrix, precision matrix, familywise error, multiple linear regression modeling.

Vehicle Loan default prediction.

Partial derivatives and mixed partial derivatives.

Partial derivatives, and double integral.

Taylor Series for cosx at c = π/2

Taylor Series of some functions

Area enclosed by functions f and g

Solving problems on integral calculus.

Discussion 12 - Simple linear regression...

Linear Regression for who dataset and feature transformation.

Simple Linear Regression using the salary dataset from kaggle.

Basic Linear Regression Model using the cars dataset in R.

Gambler ruin probability

Normal distribution, expected value and variance of binomial and exponential distributions using the moment generating functions.

Exponential probability distribution, and Chebyshev's Inequality.

Geometric, Exponential, Binomial, and Poison distributions examples

Combinatorics and counting

Probability distributions.

build and visualize eigen-imagery that accounts for 80% of the variability

Rank of a matrix, eigen values and eigen vectors

Matrix multiplication and LU decomposition

Image manipulation with Linear Algebra

This homework analyzes two different data sets related to heart disease and death events resulting from a heart attack.

Using shinny App to make visualizations interactive

Exploratory data analysis for module data 608 module 1 assignment

Sentiment Analysis of James Hartwell Books using TidyText package in R

Underfitting and Overfitting

Logistic Regression and Classification metrics

Multicollinearity basics

Linear regression, assumptions, and metrics to evaluate a linear regression model.

This project analyzes incidents of mass shootings in the US from 2014 to 2021

Hypothesis Testing, Logistic Regression model

Tidyverse Extend assignment

Recommender Systems discussion

DATA606 Project Proposal

Sentiment Analysis using tidytext package

Multiple and Logistic Regression

Multiple and Logistic Regression

Introduction to Linear Regression lab

Working with web api - NYT

This assignment demonstrates writing a vignette using the dplyr and ggplot2 packages

Introduction to Linear Regression

Inference for Numerical values

Inference for numerical data

In this assignment, I read html, xml, and json files from the internet and converted them to dataframes.

Inference for categorical values

Inference for categorical values

To determine the average percentage of westnile virus cases per US state that turned neuroinvasive using data from 1999 to 2019

To determine if study time impacts test scores from a sample of 11 students

To understand the trend in global child mortality from the 1980’s

Foundations of Inference Lab5b: Confidence Interval

Foundations of Inference Lab5a: Sampling Distributions

Foundations for Inference

This analyzed Israel's covid19 vaccination data and computed the "Efficacy vs. Severe disease" to compare the efficacy of the covid19 vaccine between vaccinated and unvaccinated individuals.

This lab uses R to explore a fast-food data frame containing 8 unique fast-food chains to determine if certain variables of the data frame appear to follow a normal distribution.

Distributions of random variables

This project uses regular expressions in R to extract information (players name, state, total points, pre-rating, and average opponent pre-rating) from a text file of a chess tournament

Probability

String manipulation with stringr (Regex)

Connecting to a MySQL database from R