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.
Shiny interface for growth model fit
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 model using 4 most significant personality trait parameters
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…
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…
Information Criterions Counter Example
Simple Linear Regression
Code for "Identification of the Mode of Evolution in Incomplete Carbonate Successions"
A R Package to find Optimal Bandwidth for Kernel Density Estimation using new methods based on K-Fold Maximum Likelihood and AIC.
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
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