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An introductory statistics course for social scientists, using Stata

Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features

Data Science courses in R from HarvardX

Capstoneproject_house_prices_prediction ⭐ 7

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysi

Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models

Hyperbolicfitdll ⭐ 5

This is an open source library that can be used to autofocus telescopes. It uses a novel algorithm based on robust statistics. For a preprint, see https://arxiv.org/abs/2201.12466 .The library is currently used in Astro Photography tool (APT) https://www.astrophotography.app/

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