Capstone project in Udacity’s nanodegree
In this project, a Starbucks data set is given which contains simulated data from Starbucks rewards mobile app. This data shows customer behavior on how they respond to offers. Offers can be an actual offer like BOGO ( buy one get one free ) or just an advertisement.
Lets understand the dataset”
We have three json files:
this file explains the offers characteristics, its duration and amount he/she needs to spend to complete the offer
Airbnb has collected good amount of data about different properties and their prices.
These data if effectively used, can give us lots of insights about the hosts and buyers and we can predict the future property prices as well.
In this story I will be analyzing the Airbnb data of Boston and Seattle and we will compare various features and also predict the house prices by using simple linear regression model.
We will try to find answers for below three questions
Data science enthusiast, Qlik Architect.