Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
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Updated
Feb 1, 2024 - HTML
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) 📈
Sports Analytics in Python
Traditional Regression problem project in Python
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.
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 …
Skills: Python (Pandas, Numpy, Matplotlib, Seaborn, Sklearn, Statsmodels)
I practiced hypothesis testing with Python.
This project repository focuses on driving better business decisions with Hypothesis Testing including T-test, ANOVA, Binomial Test, Chi-square test, Sample Size Determination with Scipy, Statmodels modules along with Pandas for Data Manipulation
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.
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