Milanpeter-77/Coursework-Vienna-Airbnb

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spatstat/spatstat.model

Sub-package of spatstat containing functionality for parametric modelling and inference

Language: R - Size: 1.45 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 5 - Forks: 1

Node0/hypercortex

A TUI based LM Swiss army knife and analysis tool

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SelfExplainML/PiML-Toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

Language: Jupyter Notebook - Size: 250 MB - Last synced at: 5 days ago - Pushed at: 25 days ago - Stars: 1,246 - Forks: 127

jaspervrugt/ABC-PMC

Approximation Bayesian Computation: Population Monte Carlo in MATLAB and Python

Language: Python - Size: 327 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Glaciohound/LM-Infinite

Implementation of NAACL 2024 Outstanding Paper "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"

Language: Python - Size: 2.13 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 127 - Forks: 13

Milanpeter-77/Coursework-Yacht-Pricing

Language: R - Size: 14.6 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

hclifton21/MixedModels-Demographics-DeathRate2004

Human Demographic Contributions to the 2004 Death Rate by U.S. State and County modeled with a Random Intercept Mixed Model

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SaniyaAbushakimova/Rigorous-Modeling-Techniques-for-Estimating-Student-Reaction-Times

This project uses the Reaction Time Survey dataset to develop a linear regression model for accurately predicting student reaction times based on various predictors. Tech: R (RStudio)

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vokereke/uswage_linear_regression

Predicting wage in the uswage dataset (Linear Regression). Model Selection, Model Diagnostics etc.

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Avinash793/time-series-analysis-examples

Detailed implementation of various time series analysis models and concepts on real datasets.

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jojo142/LendingClubAnalysis

Lending Club's loan data analysis using data cleaning/wrangling to predictive modeling

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E3SM-Project/gdess

Tool for evaluating atmospheric carbon dioxide concentrations as simulated by Earth system models

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InfiniteCuriosity/Pandas-for-Everyone

Working through the book and exercises Pandas for Everyone by Daniel Chen

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tnathu-ai/time_series_analysis_in_R

time series analysis in R use cases

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TuoooLiu666/Applied-Biostatistics-Projects

This repository commits to the application of biostatistics knowledge on clinical, randomized trials and observational studies.

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lukegeel101/Regression-Analysis-with-R

This work came from the Stats525 course in Regression Analysis in R during the Spring semester of 2021 with Professor Maryclare Griffin

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HaleyEgan/Local-Frog-Discovery-Tool

Global challenge to create Species Distribution Model to predict occurrence of frog species, Litoria fallax, in Australia.

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dkauf42/gdess Fork of E3SM-Project/gdess

Tool for evaluating atmospheric carbon dioxide concentrations as simulated by Earth system models

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

branden-ciranni/model-diagnostics

Model Diagnostics App for Logistic Regression

Language: Python - Size: 90.8 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

kkholst/gof

Model diagnostics based on cumulative residuals (R package) https://kkholst.github.io/gof/

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archd3sai/Predicting-GDP-of-India

Objective of this project is to perform predictive assesment on the Gross Domestic Product of India through an inferential analysis of various socio-economic factors to find out which predictors contribute most to the GDP. Various models are compared and Stepwise Regression model is implemented which resulted in 5.7% Test MSE.

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