Develops a script in R to extract p-values from pdfs using XML format and performs analysis on a large text corpus.

utility notebooks

Philadelphia Real Estate Trends and Relationships with COVID-19

Statistics and R

If protein sequence NR2F6 is very similar between humans and mice, then mice that have SNP rs11856995 might show photic sneeze reflex (PSR) phenotype.

Assignment-04-Simple-Linear-Regression-1 Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Mod…

Probability and Statistics for Machine Learning

This paper develops new methods to handle false positives in High-Throughput Screening experiments.

Analysis of p value sets submitted to NCBI GEO database as supplementary files

An R script to help analyze the structure of multiple networks at the same time.

Fictional company AutosRUs’ newest prototype, the MechaCar, is suffering from production troubles that are blocking the manufacturing team’s progress. AutosRUs’ senior management enlisted assistance from the data analytics team to review the production data for insights that may help the manufacturing team overcome their production issues.

Identifying and avoiding common misinterpretations in using statistics

This repository consists of an R Notebook utilizing the following bioinformatics methods: p-values and Deep Neural Networks. Histograms have been used to plot the differences between before training and after training results. The csv file "BIMM 143 Project 2.csv" will be necessary for code to run.

pcal: Calibration of p-values for point null hypotheses

Eindhoven University of Technology (TU/e) course "Improving your statistical inferences" by Daniel Lakens on Coursera (completed Dec 2022).

Probs practice

Independent Project - Kaggle Dataset-- I worked on the European Soccer Dataset, using SQL (SQLite) to read in the data and then data wrangling before running statistical analysis and hypothesis testing on questions of who helps earn the most points for their team.

project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.

Analyzing MechaCar production data with R in order to troubleshoot issues that are blocking AutoRUs' manufacturing process.