Taking causal inference to the extreme!
-
Updated
Dec 17, 2024 - Julia
Taking causal inference to the extreme!
Automating Assumption Checks for Regression Models (Work in Progress, Currently Paused)
Produces an Odds Ratio Plot from a GLM Model
Statistics functions for python
Forecast price of basic commodities East Kalimantan using LSTM Algorithm and Exponential Smoothing
We will design a predictive model to predict the full-load power output of the Combined Cycle Power Plant Dataset from UCI ML repository and evaluate the performance of the model.
Change in agrochemicals across Canada over the last 35 years
Time series analysis on the United States Housing Price Index data using ARIMA models
Robust regression model that predicts the 90th percentile of annual max streamflow using Regression Analysis in R
Python Decorator to enforce assumptions on function parameters.
A repository created to explore and understand Statistics through coding.
Simple regression problem to predict crimes by population done as part the statistics class.
A collection of functions for checking the assumptions of linear regression and performing variable selection.
This repo contains a regression analysis of crime rates in the Boston area.
Simple Multiple Regression problem to predict vehicle price based on various KPI's done as part of statistics coursework.
This repo contains code, a presentation, and a project report regarding suicide rates in the US from 1985 - 2015
Add a description, image, and links to the assumption-check topic page so that developers can more easily learn about it.
To associate your repository with the assumption-check topic, visit your repo's landing page and select "manage topics."