Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.

E-Commerce Website A/B testing: Recommend which of two landing pages to keep based on A/B testing

Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Markets of US and China Using GARCH Value-at-Risk Forecasting and Granger Causality."

Python web application for exploring and forecasting crime rates in NYC

Classification model for 1 year survival rates in patients with HCC (hepatocellular carcinoma).

Analysis of the results of an A/B test for an e-commerce website.

Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈

~PyDataLA 2020~ talk

Sports Analytics in Python

Traditional Regression problem project in Python

A simple linear regression machine learning model for predicting the total cases of pandemic from OWID dataset. Built using Python libraries (Pandas, NumPy, Statsmodels, Pickle, Matplotlib, Seaborn). Model is further represented as a Flask Web Application with a backend database connectivity to SQLite3 using SQLAlchemy. Later deployed to Heroku …

Perform the financial risk analysis on a stocks portfolio, through Monte Carlo Simulation

how to perform t-testing & ANOVA

Training a linear regression model using English Premier League (EPL) Soccer Data.

website A/B test data analysis

Analyzing AB test results to make a recommendation on whether or not a new page should be implemented on an e-commerce site.

I practiced hypothesis testing with Python.

A Data Science approach to predict house sales from given dataset. All steps from CRISP-DM Framework are accounted for and Linear Regression is used for modelling.