aic
There are 44 repositories under aic topic.
easystats/performance
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
itisianlee/hg.aic.pytorch
AI challenger竞赛hourglass用于关键点检测
UBC-MDS/RegscorePy
This is the repo for a python package that does model comparison between different regression models.
UBC-MDS/PyPunisher
A Python package that performs stepwise forward and backward feature selection
anjalisilva/MPLNClust
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
arman-aminian/AIC21-Client-Python
Sharif-AI-Challenge2021 Client
kdyson/R_Scripts
Helper R scripts for multiple PERMANOVA tests, AICc script for PERMANOVA, etc.
ericyung1998/financial-analysis-r
[R] Statistical analysis of financial data conducted in R
RudolfJagdhuber/ExhaustiveSearch
ExhaustiveSearch: A Fast and Scalable Exhaustive Feature Selection Framework
JonasVasconcelos/FiShiny
Shiny interface for growth model fit
yashjshah/Employee-Data-Analysis
Analytical tool to help the company decide whether the employee will stay or not
yousefkotp/Egyptian-Arabic-ASR-and-Diarization
The official submission from Speech Squad team for the MTC-AIC 2 competition of 2024 where an ASR model is developed tailored for the Egyptian dialect, utilizing the FastConformer architecture. Our four-stage training pipeline achieved a Mean Levenshtein Distance score of 9.58 on the test set.
ArkaB-DS/regressionProjectIITK
This is a group project for MTH416A: Regression Analysis at IIT Kanpur
arsh-k/Natural-Time-Analysis-Taiwan
A natural time analysis of the Earthquake Cycles in Taiwan by evaluating EPS scores using R and Python.
atsukoba/NPB-baseball-stats-R
Baseball team data (1950~2017, 2 leagues) analysis via R as an assignment of stats lecture at univ.
liang-sarah/employeeTurnover
tracking survival rate of new employees with a best fitted Cox Proportional Hazards model using 4 most significant personality traits
MoinDalvs/Simple_Linear_Regression_1
Predicting Delivery Time Using Sorting Time
NothinBetterToDo/Statistical-Learning
Notes on statistical learning. Currently contains probability based models, parametric and non-parametric statistical tests.
Prem-98/Multi-linear-regression
MLR assignment
ShaikRiyazSandy/Simple-Linear-Regression
Simple Linear Regression
ShrayanRoy/bwNew
A R Package to find Optimal Bandwidth for Kernel Density Estimation using new methods based on K-Fold Maximum Likelihood and AIC.
supernlogn/IC_counter
Information Criterions Counter Example
UBC-MDS/punisheR
An R package that performs stepwise forward and backward feature selection
UBC-MDS/regscoreR
An R package to compute scores for different regression models.
vaitybharati/P26.-Supervised-ML---Multiple-Linear-Regression---Cars-dataset
Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Leverage value, Improving the Model, Model - Re-build, Re-check and Re-improve - 2, Model - Re-build, Re-check and Re-improve - 3, Final Model, Model Predictions.
vandomed/dvmisc
Convenience Functions, Moving Window Statistics, and Graphics
bjam24/bank_customer_segmentation_methods
The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.
embarbos/crime-and-demographic-data-analysis
Final Project STA 108 with Dr. Jairo Fuquene Patino
ito4303/AIC_PMSE
森林総合研究所北海道支所所内セミナーでの発表資料「いつでもAICを使えばよいというものではない」
MindTheGap-ERC/CarbonateStratPalEvo
Code for "Identification of the Mode of Evolution in Incomplete Carbonate Successions"
rlaehddo/Forest_Fire
Linear Regression Models on Montesinho Forest Fire
Scrayil/GlobClus_prop-Analysis
This aim of this project is to analyze globular star clusters in the Milky Way, in order to understand their dynamics. The conducted study examined the properties that affect the central velocity dispersion, their impact and the correlations between them.
SinghShubham19/CO2-level-Time-Series-Forecasting
This model predicts co2 level in atmosphere on account of historical data.
WolfSystems43/EUSKELEC-TELEMETRY-SYSTEM
Sistema de telemetría avanzada para monoplaza eléctrico [EUSKELEC]
zyxsjdy/Advanced-Communication-Theory-CSP21-IMPERIAL
Coursework for Advanced Communication Theory at IMPERIAL, 2021