Notes on statistical learning. Currently contains probability based models, parametric and non-parametric statistical tests.

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.

ExcelR_Assignment---Forecasting---Assignment---18

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.

Data Science - 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.

Time series analysis project: forecasting M3 competition series.

Final project progress will be posted here.

Compute the inverse of a one-parameter Box-Cox transformation for 1+x.

Compute a one-parameter Box-Cox transformation.

Time series analysis project: forecasting brazilian inflation.

Space-Time Statistical Quality Control of Extreme Precipitation Observation

Translate Measurements, Z-Scores and Centiles with the RIF format

Compute the inverse of a one-parameter Box-Cox transformation.

This is a group project for MTH416A: Regression Analysis at IIT Kanpur

Compute a one-parameter Box-Cox transformation of 1+x.

Statistical concepts, from statistical inference to Bayes probability and different distribution types

Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.

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.