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Oct 1, 2022 - R
#
aic
Here are 34 public repositories matching this topic...
This is the repo for a python package that does model comparison between different regression models.
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Mar 18, 2018 - Python
A Python package that performs stepwise forward and backward feature selection
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Aug 8, 2018 - Python
R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model
data-visualization
model-selection
data-simulation
r-package
mixture-model
heatmaps
bic
posterior-probability
aic
model-based-clustering
count-data
icl
shinyapp
lineplot
mcmc-em
mpln-distribution
variational-em
aic3
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Jun 6, 2022 - R
Sharif-AI-Challenge2021 Client
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Aug 20, 2021 - Python
Helper R scripts for multiple PERMANOVA tests, AICc script for PERMANOVA, etc.
r
ecology
multivariate-regression
adonis
aic
chisquare
permanova
indicator-species
multipatt
chisquare-test
chisquared
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Jul 27, 2021 - R
Analytical tool to help the company decide whether the employee will stay or not
r
analytics
analysis
svm
decision-making
prediction
predictive
logistic-regression
decision-trees
predictive-modeling
boruta
predictive-analytics
hypothesis-testing
decision-tree
decision-tree-classifier
decision-tree-algorithm
aic
decision-tree-regression
tree-pruning
auc-roc-curve
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Feb 14, 2019 - R
ExhaustiveSearch: A Fast and Scalable Exhaustive Feature Selection Framework
machine-learning
linear-regression
mse
feature-selection
model-selection
logistic-regression
r-package
aic
exhaustive-search
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Jan 22, 2021 - C++
Shiny interface for growth model fit
bootstrap
shiny-apps
non-linear-regression
aic
population-dynamics
chi-square-test
growth-models
r-for-everyone
age-database
fish-biology
length-data
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Aug 2, 2022 - R
Convenience Functions, Moving Window Statistics, and Graphics
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Sep 27, 2020 - R
An R package that performs stepwise forward and backward feature selection
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Mar 20, 2018 - R
A natural time analysis of the Earthquake Cycles in Taiwan by evaluating EPS scores using R and Python.
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Apr 30, 2021 - Jupyter Notebook
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
scatter-plot
ols-regression
statsmodels
aic
correlation-analysis
collinearity-diagnostics
heteroscedasticity
p-values
vif
t-score
multi-linear-regression
residual-analysis
cooks-distance
r-square-values
influence-plot
homoscedasticity
leverage-value
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Jun 13, 2021 - Jupyter Notebook
pcap
linear-regression
sniffer
iperf
packet
stochastic-process
packet-capture
network-traffic
bic
aic
ditg
traffic-generator
synthetic-data
libtins
synthetic-traffic
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Sep 7, 2020 - C++
This is a group project for MTH416A: Regression Analysis at IIT Kanpur
r
prediction
ozone
ridge-regression
rmse
aic
principal-components-regression
shapiro-wilk
vif
auto-arima
box-cox
scree-plot
scatterplot-matrix
qq-plot
breusch-pagan
variance-decompotion-proportion
alternating-conditional-expectation
mallows-cp
stepwise-selection
multiple-time-series
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Dec 3, 2021 - R
Predicting Delivery Time Using Sorting Time
numpy
pandas-dataframe
sklearn
data-transformation
prediction
matplotlib
predictive-modeling
likelihood
ols-regression
bic
aic
residuals
pandas-library
simple-linear-regression
log-transformation
f-statistics
sklearn-library
ordinary-least-squares
rmse-score
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Mar 24, 2022 - Jupyter Notebook
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Jan 12, 2022 - HTML
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