BUAD5082 Machine Learning

Class-14--Boosting

MSBA Team 5 discusses boosting for decision tree

Text-Analytics

HierarchicalClustering2

Hierarchical Clustering 2

Class-22-Hierarchical-Clustering-I

Files used during the lecture on 3/29/2017

Class-21-_K-Means_Clustering

Class 21: K-Means Clustering

Class-20-Principal-Component-Analysis

Class-19---Tree-Based-Methods-Competition

Classes-15-to-18-Support-Vector-Machines

Class-13-Bagging-Random-Forests

2.22.17

Class-12-Tree-Based-Methods-Classification-Trees

Team 2 Class 12 Tree Based Methods Classification Trees

Classes-11-and-12---Regression-and-Classification-Trees

Supplemental Material on Classification and Regression Trees

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

Class-11-Tree-Based-Methods-Regression-Trees

Team 3

Class-10-GAMs

Generalized Additive Models

Class-9-Smoothing-Splines-and-Local-Regression

Class-8-Regression-Splines

R-Markdown-and-Knitr

Class-7

Polynomial Regressions, Step Functions, and Basis Funcions

Class-6-Partial-Least-Squares

Class-5-Principal-Component-Analysis

Principal Component Analysis and Regression in R

Sandbox

Repo to test and practice using Git and Github

Introduction-to-git-and-github