Skip to content

Latest commit

 

History

History
21 lines (13 loc) · 858 Bytes

README.md

File metadata and controls

21 lines (13 loc) · 858 Bytes

CSE-574-Machine_Learning

Project 1- Modeling Slump Flow of concrete

Task 1: Compare Unregularized (Linear) and Regularized (Rideg, Lasso) regression on Slump Flow of concrete using Cross Validation.

SlumpFlowValidation.py

Task 2: Generate graph for Reguarization path - co-oefficient vs weight of sample data on Slump Flow

RegularizationPathGraph.py

Output: output

Project 2- Decision Tree

The project aims to demonstrate the Fitting Classification Tree, Fitting Regression Tree, Bagging and Random Forests, and Boosting of dependency tree in Tree Based methods.

TreeBasedClassification.Rmd