Notes on statistical learning. Currently contains probability based models, parametric and non-parametric statistical tests.
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Updated
Apr 29, 2021 - Jupyter Notebook
Notes on statistical learning. Currently contains probability based models, parametric and non-parametric statistical tests.
Time series analysis project: forecasting M3 competition series.
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.
total raw governmental industry employment data from January 1 1939 to October 30 2019. Time Series analysis to forecast employment from October 2019-October 2020.
Final project progress will be posted here.
ExcelR_Assignment---Forecasting---Assignment---18
Compute the inverse of a one-parameter Box-Cox transformation.
Compute the inverse of a one-parameter Box-Cox transformation for 1+x.
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.
Compute a one-parameter Box-Cox transformation.
Time series analysis project: forecasting brazilian inflation.
Space-Time Statistical Quality Control of Extreme Precipitation Observation
Compute a one-parameter Box-Cox transformation of 1+x.
Translate Measurements, Z-Scores and Centiles with the RIF format
Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.
Data Science - Forecasting
This is a group project for MTH416A: Regression Analysis at IIT Kanpur
Statistical concepts, from statistical inference to Bayes probability and different distribution types
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.
Add a description, image, and links to the box-cox topic page so that developers can more easily learn about it.
To associate your repository with the box-cox topic, visit your repo's landing page and select "manage topics."