A matlab suite for Psycho-Physiological Modelling
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Updated
Jun 4, 2024 - MATLAB
A matlab suite for Psycho-Physiological Modelling
tldr; If you have a 2-4GB dataset and you need to estimate a (generalized) linear model with a large number of fixed effects, this package is for you.
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
Spells for everyday living. (also a book coming out in 2024)
GAMLj: GLM, Mixed, Generalized and Generalized mixed models for jamovi
PaRtitiOned empirical Bayes Ecm (PROBE)
BayesVarSel: R package to calculate Bayes factors, model choice and variable selection in linear models
In-depth exploration of linear regression models, including data cleaning, model building, and performance evaluation on various datasets.
Linear models with Stan and Pandas
Input Output Hidden Markov Model (IOHMM) in Python
Business intelligence analyzer - Supermarket sales.
This is a warehouse for DLinear-Pytorch-model, can be used to train your text dataset for time series forecasting tasks.
OLS Linear Model - Regressing User Beer Ratings based on Observations
linear regression on the height and the bolting time of the lettuce phenotypes
This is my senior project for my data science degree at Belmont University where I will be looking at the effect of the MLB Pitch Clock on pitcher's performance.
Package offers simultaneous regression and binary classification especially for educational data
An R Port of Stata's 'margins' Command
Code for predicting the severity of earthquake impact on buildings through various experiments, utilizing models like Logistic Regression, SVM, XGBoost, Neural Networks, and Random Classifier. It employs Grid Search and Randomized Search for optimal configuration and relies on feature correlations as primary predictors, adjustable with a threshold.
Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
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