Ecosyste.ms: Repos
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GitHub topics: box-cox
growthcharts/centile
Translate Measurements, Z-Scores and Centiles with the RIF format
Language: R - Size: 1.01 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0
jroakes/ForecastGA
A Python tool to forecast Google Analytics data using several popular time series models.
Language: Python - Size: 342 KB - Last synced: 3 days ago - Pushed: over 1 year ago - Stars: 42 - Forks: 10
UniprJRC/FSDA
Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.
Language: MATLAB - Size: 904 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 73 - Forks: 30
stdlib-js/math-base-special-boxcox1pinv
Compute the inverse of a one-parameter Box-Cox transformation for 1+x.
Language: JavaScript - Size: 727 KB - Last synced: 24 days ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0
stdlib-js/math-base-special-boxcox1p
Compute a one-parameter Box-Cox transformation of 1+x.
Language: JavaScript - Size: 728 KB - Last synced: 4 days ago - Pushed: about 2 months ago - Stars: 2 - Forks: 0
stdlib-js/math-base-special-boxcoxinv
Compute the inverse of a one-parameter Box-Cox transformation.
Language: JavaScript - Size: 1.07 MB - Last synced: 5 days ago - Pushed: about 2 months ago - Stars: 2 - Forks: 0
saikrishnabudi/Forecasting
Data Science - Forecasting
Language: Jupyter Notebook - Size: 5.06 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0
sharmaroshan/Predicting_Money_Spent_at_Resort
It is From Analytics Vidhya Hackathons, Sponsored by Club Mahindra. It is based on Regression Problem, Where Accuracy matters the most, It is measured by RMSE Score. Different Techniques such as Stacking, Ensembling, Boosting and Scientific Operations such box-cox Operations to reduce skewness of the data.
Language: Jupyter Notebook - Size: 16.6 MB - Last synced: 8 months ago - Pushed: about 5 years ago - Stars: 7 - Forks: 3
jvirico/normality-tests-pvalues-boxcoxtransformations
Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.
Language: Python - Size: 1.91 MB - Last synced: 11 months ago - Pushed: almost 3 years ago - Stars: 3 - Forks: 0
shanuhalli/Assignment-Forecasting
Forecast the Airlines Passengers and CocaCola Prices data set. Prepare a document for model explaining. How many dummy variables you have created and RMSE value for model. Finally which model you will use for Forecasting.
Language: Jupyter Notebook - Size: 3.29 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 1
AbbasElHachem/qcpcp
Space-Time Statistical Quality Control of Extreme Precipitation Observation
Language: Python - Size: 9.62 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
ArkaB-DS/regressionProjectIITK
This is a group project for MTH416A: Regression Analysis at IIT Kanpur
Language: R - Size: 7.79 MB - Last synced: over 1 year ago - Pushed: over 2 years ago - Stars: 2 - Forks: 1
kellyav/machinelearningfinal
Final project progress will be posted here.
Language: HTML - Size: 4.84 MB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 1 - Forks: 0
stdlib-js/math-base-special-boxcox
Compute a one-parameter Box-Cox transformation.
Language: Makefile - Size: 706 KB - Last synced: 23 days ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0
Vitomir84/Statistics-and-probability
Statistical concepts, from statistical inference to Bayes probability and different distribution types
Language: Jupyter Notebook - Size: 2.25 MB - Last synced: over 1 year ago - Pushed: over 2 years ago - Stars: 3 - Forks: 2
NothinBetterToDo/Statistical-Learning
Notes on statistical learning. Currently contains probability based models, parametric and non-parametric statistical tests.
Language: Jupyter Notebook - Size: 493 KB - Last synced: over 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0
ViktorC/OSML
A Python library of 'old school' machine learning methods such as linear regression, logistic regression, naive Bayes, k-nearest neighbors, decision trees, and support vector machines.
Language: Python - Size: 337 KB - Last synced: over 1 year ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 0