aic

There are 0 repository under aic topic.

performance
easystats / performance
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
r2 aic performance models loo r easystats mixed-models statistics hacktoberfest machine-learning
Language:R 949
itisianlee / hg.aic.pytorch
AI challenger竞赛hourglass用于关键点检测
aic hourglass pytorch
Language:Jupyter Notebook 21
UBC-MDS / RegscorePy
This is the repo for a python package that does model comparison between different regression models.
model model-comparison regression aic bic
Language:Python 20
UBC-MDS / PyPunisher
A Python package that performs stepwise forward and backward feature selection
python feature-selection aic bic
Language:Python 16
anjalisilva / MPLNClust
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
count-data mpln-distribution mcmc-em icl aic mixture-model variational-em bic aic3 model-based-clustering r-package model-selection data-simulation data-visualization heatmaps lineplot posterior-probability shinyapp
Language:R 15
arman-aminian / AIC21-Client-Python
Sharif-AI-Challenge2021 Client
aic aichallenge ai python agent ant-challenge python-client
Language:Python 12
kdyson / R_Scripts
Helper R scripts for multiple PERMANOVA tests, AICc script for PERMANOVA, etc.
adonis aic chisquare chisquare-test chisquared ecology indicator-species multipatt multivariate-regression permanova r
Language:R 9
ericyung1998 / financial-analysis-r
[R] Statistical analysis of financial data conducted in R
financial-analysis statistics r normal-distribution exponential-distribution qq-plot var expected-shortfall anova regression optimization natural-splines acf pacf aic arima arch garch
Language:R 5
RudolfJagdhuber / ExhaustiveSearch
ExhaustiveSearch: A Fast and Scalable Exhaustive Feature Selection Framework
feature-selection exhaustive-search r-package model-selection logistic-regression linear-regression aic mse machine-learning
Language:C++ 4
JonasVasconcelos / FiShiny
Shiny interface for growth model fit
growth-models shiny-apps aic bootstrap chi-square-test fish-biology population-dynamics length-data age-database non-linear-regression r-for-everyone
Language:R 3
yashjshah / Employee-Data-Analysis
Analytical tool to help the company decide whether the employee will stay or not
aic analysis analytics auc-roc-curve boruta decision-making decision-tree decision-tree-algorithm decision-tree-classifier decision-tree-regression decision-trees hypothesis-testing logistic-regression prediction predictive predictive-analytics predictive-modeling r svm tree-pruning
Language:R 3
ArkaB-DS / regressionProjectIITK
This is a group project for MTH416A: Regression Analysis at IIT Kanpur
scatterplot-matrix ozone variance-decompotion-proportion vif rmse alternating-conditional-expectation qq-plot shapiro-wilk breusch-pagan ridge-regression principal-components-regression aic mallows-cp stepwise-selection scree-plot box-cox auto-arima prediction multiple-time-series r
Language:R 2
AndersonPaschoalon / Simitar
traffic-generator iperf libtins packet packet-capture network-traffic synthetic-data synthetic-traffic sniffer linear-regression bic aic stochastic-process pcap ditg
Language:C++ 1
arsh-k / Natural-Time-Analysis-Taiwan
A natural time analysis of the Earthquake Cycles in Taiwan by evaluating EPS scores using R and Python.
aic ks-test mle-estimation kde nowcasting
Language:Jupyter Notebook 1
atsukoba / NPB-baseball-stats-R
Baseball team data (1950~2017, 2 leagues) analysis via R as an assignment of stats lecture at univ.
r lasso ridge aic svm mse
Language:R 1
MoinDalvs / Simple_Linear_Regression_1
Predicting Delivery Time Using Sorting Time
sklearn sklearn-library ordinary-least-squares ols-regression prediction predictive-modeling simple-linear-regression pandas-dataframe pandas-library numpy matplotlib residuals rmse-score log-transformation data-transformation aic bic f-statistics likelihood
Language:Jupyter Notebook 1
Prem-98 / Multi-linear-regression
MLR assignment
mlr pandas regression-models pyforest matplotlib seaborn math aic rsquare-values cooks-distance influencer influencer-plot
Language:Jupyter Notebook 1
ShaikRiyazSandy / Simple-Linear-Regression
Simple Linear Regression
aic bic data-transformation f-statistics likelihood log-transformation matplotlib numpy ols-regression ordinary-least-squares pandas-dataframe pandas-library prediction predictive-modeling residuals rmse-score scipy-stats simple-linear-regression sklearn sklearn-library
Language:Jupyter Notebook 1
ShrayanRoy / bwNew
A R Package to find Optimal Bandwidth for Kernel Density Estimation using new methods based on K-Fold Maximum Likelihood and AIC.
aic cross-validation density-estimation kernel r
Language:R 1
UBC-MDS / punisheR
An R package that performs stepwise forward and backward feature selection
r feature-selection aic bic
Language:R 1
UBC-MDS / regscoreR
An R package to compute scores for different regression models.
r score feature-selection aic bic mallow
Language:R 1
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.
python eda statsmodels influence-plot correlation-analysis scatter-plot ols-regression multi-linear-regression p-values r-square-values t-score collinearity-diagnostics residual-analysis vif homoscedasticity heteroscedasticity cooks-distance leverage-value aic
Language:Jupyter Notebook 1
vandomed / dvmisc
Convenience Functions, Moving Window Statistics, and Graphics
miscellaneous histograms bmi aic
Language:R 1
embarbos / crime-and-demographic-data-analysis
Final Project STA 108 with Dr. Jairo Fuquene Patino
crime-data data-analysis data-analysis-r demographic-analysis demographics-data multiple-linear-regression r rstudio aic bic crime
0
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」
aic model-selection
Language:R 0
liang-sarah / employeeTurnover
tracking survival rate of new employees with a best fitted model using 4 most significant personality trait parameters
aic employee-turnover group-project kaggle-dataset kaplan-meier proportional-hazards survival-analysis
Language:R 0
MindTheGap-ERC / CarbonateStratPalEvo
Code for "Identification of the Mode of Evolution in Incomplete Carbonate Successions"
aic biological-simulations biology earth-science evolution fossils geoscience geosciences sedimentology stratigraphy
Language:R 0
rlaehddo / Forest_Fire
Linear Regression Models on Montesinho Forest Fire
linear-regression linear-models modelling modelselection model-selection aic k-fold-cross-validation r forestfire aka akaike-information-criterion lasso-regression lasso-regression-model
Language:R 0
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.
aic astrophysics bayesian-networks bic confidence-intervals correlation-analysis gaussian-distribution gaussian-graphical-models globular-clusters likelihood-functions linear-models p-value r space stars statistical-analysis statistical-learning statistics universe report
Language:HTML 0
SinghShubham19 / CO2-level-Time-Series-Forecasting
This model predicts co2 level in atmosphere on account of historical data.
acf-plots pacf-autocorrelation resampling time-series-forecasting adf-test aic mse seasonality grid-search sarimax
Language:Jupyter Notebook 0
Akhileshkumarkc / Statistics-Projects
Statistics-Projects done in R involving basic R Function, analyzing US Election, boxplot and confidence interval for HeartBeat using finger-arm method, analysis of voicedata to classify instrument v/s Singer data, Linear Regression, Anova Analysis and AIC For cancer data and BootStrap Analysis on CPU Time. These are projects done by Akhilesh Kumar Kagalvadi Chinnaswamy and Vidya Sri Mani for Learning Statistics and Machine Learning using R.
r anova linear-regression aic bootstrap boxplot confidence-intervals
Language:R
guhjy / fic
R package for focused information criteria for model comparison
r aic
Language:R
guhjy / ggmix
r lmm aic genetics fs
Language:HTML
MohammadSalek / AIC20-Client-Java
python aic aic20
Language:Java
NothinBetterToDo / Statistical-Learning
Notes on statistical learning. Currently contains probability based models, parametric and non-parametric statistical tests.
regression pca svm advanced-regression sse aic bic box-cox de-trending exponential-smoothing
Language:Jupyter Notebook
steve303 / stat420_variableSelection
aic bic variable-selection r linear-regression
Language:HTML

aic

easystats / performance

itisianlee / hg.aic.pytorch

UBC-MDS / RegscorePy

UBC-MDS / PyPunisher

anjalisilva / MPLNClust

arman-aminian / AIC21-Client-Python

kdyson / R_Scripts

ericyung1998 / financial-analysis-r

RudolfJagdhuber / ExhaustiveSearch

JonasVasconcelos / FiShiny

yashjshah / Employee-Data-Analysis

ArkaB-DS / regressionProjectIITK

AndersonPaschoalon / Simitar

arsh-k / Natural-Time-Analysis-Taiwan

atsukoba / NPB-baseball-stats-R

MoinDalvs / Simple_Linear_Regression_1

Prem-98 / Multi-linear-regression

ShaikRiyazSandy / Simple-Linear-Regression

ShrayanRoy / bwNew

UBC-MDS / punisheR

UBC-MDS / regscoreR

vaitybharati / P26.-Supervised-ML---Multiple-Linear-Regression---Cars-dataset

vandomed / dvmisc

embarbos / crime-and-demographic-data-analysis

ito4303 / AIC_PMSE

liang-sarah / employeeTurnover

MindTheGap-ERC / CarbonateStratPalEvo

rlaehddo / Forest_Fire

Scrayil / GlobClus_prop-Analysis

SinghShubham19 / CO2-level-Time-Series-Forecasting

Akhileshkumarkc / Statistics-Projects

guhjy / fic

guhjy / ggmix

MohammadSalek / AIC20-Client-Java

NothinBetterToDo / Statistical-Learning

steve303 / stat420_variableSelection