Shiny interface for growth model fit

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

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 Kum…

R package for focused information criteria for model comparison

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. Levera…

Baseball team data (1950~2017, 2 leagues) analysis via R as an assignment of stats lecture at univ.

Linear Regression Models on Montesinho Forest Fire

MLR assignment

This model predicts co2 level in atmosphere on account of historical data.

Final Project STA 108 with Dr. Jairo Fuquene Patino

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.

Information Criterions Counter Example

Simple Linear Regression

Code for "Identification of the Mode of Evolution in Incomplete Carbonate Successions"

The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.

A R Package to find Optimal Bandwidth for Kernel Density Estimation using new methods based on K-Fold Maximum Likelihood and AIC.

This is the repo for a python package that computes penalty score for a given regression model.

tracking survival rate of new employees with a best fitted Cox Proportional Hazards model using 4 most significant personality traits