Topic: aic Goto Github
Some thing interesting about aic
Some thing interesting about aic
aic,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.
User: akhileshkumarkc
aic,R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
User: anjalisilva
Home Page: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636065/
aic,This is a group project for MTH416A: Regression Analysis at IIT Kanpur
User: arkab-ds
aic,Sharif-AI-Challenge2021 Client
User: arman-aminian
aic,A natural time analysis of the Earthquake Cycles in Taiwan by evaluating EPS scores using R and Python.
User: arsh-k
aic,:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Organization: easystats
Home Page: https://easystats.github.io/performance/
aic,Final Project STA 108 with Dr. Jairo Fuquene Patino
User: embarbos
aic,[R] Statistical analysis of financial data conducted in R
User: ericyung1998
aic,AI challenger竞赛hourglass用于关键点检测
User: itisianlee
aic,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」
User: ito4303
aic,Shiny interface for growth model fit
User: jonasvasconcelos
aic,Helper R scripts for multiple PERMANOVA tests, AICc script for PERMANOVA, etc.
User: kdyson
aic,tracking survival rate of new employees with a best fitted model using 4 most significant personality trait parameters
User: liang-sarah
Home Page: https://liang-sarah.github.io/employeeTurnover/employeeTurnoverAnalysis.pdf
aic,Code for "Identification of the Mode of Evolution in Incomplete Carbonate Successions"
Organization: mindthegap-erc
aic,Predicting Delivery Time Using Sorting Time
User: moindalvs
aic,Notes on statistical learning. Currently contains probability based models, parametric and non-parametric statistical tests.
User: nothinbettertodo
aic,MLR assignment
User: prem-98
aic,Linear Regression Models on Montesinho Forest Fire
User: rlaehddo
aic,ExhaustiveSearch: A Fast and Scalable Exhaustive Feature Selection Framework
User: rudolfjagdhuber
Home Page: https://github.com/RudolfJagdhuber/ExhaustiveSearch/
aic, 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.
User: scrayil
aic,Simple Linear Regression
User: shaikriyazsandy
aic,A R Package to find Optimal Bandwidth for Kernel Density Estimation using new methods based on K-Fold Maximum Likelihood and AIC.
User: shrayanroy
aic,This model predicts co2 level in atmosphere on account of historical data.
User: singhshubham19
aic,Information Criterions Counter Example
User: supernlogn
aic,A Python package that performs stepwise forward and backward feature selection
Organization: ubc-mds
Home Page: https://ubc-mds.github.io/PyPunisher/index.html
aic,This is the repo for a python package that does model comparison between different regression models.
Organization: ubc-mds
aic,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.
User: vaitybharati
aic,Convenience Functions, Moving Window Statistics, and Graphics
User: vandomed
aic,Analytical tool to help the company decide whether the employee will stay or not
User: yashjshah
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