predictive model for churn rate using logistic regression

MLR for the group project with Price as Y variable

quiz

hotel pricing USA EDA

Project_Data_Dynamos

Percentage tables, Boxplots, histogram, correlation, scatterplots

Logistic regression is used to train data

Nearest neighbor algorithm

Consists of - Summary functions - Descriptive statistics by group - Contingency and proportion tables

First assignment

Getting started with R

Session 2 Getting Started