If protein sequence NR2F6 is very similar between humans and mice, then mice that have SNP rs11856995 might show photic sneeze reflex (PSR) phenotype.
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Updated
Dec 8, 2021 - Jupyter Notebook
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…
Philadelphia Real Estate Trends and Relationships with COVID-19
Statistics and R
utility notebooks
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.
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.
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).
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.
Probability and Statistics for Machine Learning
**Intro to Statistics**: Discover the fascinating world of statistics with this engaging and accessible guide. Perfect for beginners, this book covers everything from p-values and t-tests to machine-learning models like random forests. Learn through practical examples and R code snippets, and unlock the power of statistical analysis.
A shiny app to visualise p-value distributions. Intended to facilitate the discussion of how to interpret p-values.
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