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…

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

utility notebooks

Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.

Empirical Bayes factors for objective statistical evidence

p-value calculators written for STAT 200 at UIUC

Identifying and avoiding common misinterpretations in using statistics

Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Levera…

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.

Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect

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.

Case study from UDACITY Data Scientist Nanodegree

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.