Generalized linear models 1 coursework
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Updated
Oct 26, 2017 - R
Generalized linear models 1 coursework
Analysis of brain trajectories using general linear models in health and disease
Fast and modular solver for sparse generalized linear models
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
Study on community compensatory trend, as well as positive and negative density dependence enacting on seedling recruitment in the Dipterocarpaceae
This repository documents my senior year independent project related to exploring the impact of behavioral interactions on the foraging success/attempts of five, peruvian army-ant following birds.
UX Analytics & A/B Testing
A pair of scripts that contain profound statistical analyses. The first one approaches a linear model, while the second one a generalized linear model
Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
A ipynb file to allow easy access to US Census Current Population Survey (CPS) data, with the aim of identifying drivers of wage levels in the US.
Homework 2 for the INTL 601 Quantitative Research Methods Course, Prof. David Carlson, Koç University.
Degree work to opt for the master's degree in data science focused on educational data.
Anova main effect model for BirthWeight dataset
A final project carried out at the African Institute for Mathematical Sciences, AIMS.
Machine Learning: Group Project
Our team GMT+8 analyzed the given data and recommended which manufacturers MM&A team should partner with to pilot the digital ad program. I utilised my knowledge of the R language to build the statistical prediction model for quantifying the effectiveness of the coupon promotion by the manufacturers in the supermarket.
Modeling Mortgage Customer Retention with Binary Logistic Regression
Script to perform three different likelihood-ratio tests in Julia, and call an R script to perform the one-way ANOVA test, Welch's ANOVA test and analysis of deviance on a gamma generalized linear model.
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