Write-a-Blogpost

This repo contains the files for the udacity data scientist nanodegree's 1st project.

Project: Stay in Boston Made Easier with Airbnb

In this project we are going to use the CRISP - DM technique to answer a few questions:

1. What are the best months to find cheap accommodations in Boston?
2. What are the most least expensive neighborhoods and the most expensive neighborhood in Boston?
3. Which are the few best rated accommodations in Boston?
4. What type of accommodation do guests prefer the most?

Installations and Imports

This project has been written in Python 3 on a jupyter notebook and it contains the following libraries:

1. Pandas
2. Numpy
3. Seaborn
4. MatplotLib
5. Plotly.express

File present in the repository

airpbnb.ipynb

It is a Jupyter Notebook which contains code as well as is structured to understand the course of analysis.

Motivation

As per Udacity Data Scientist Nanodegree project, I was asked to write a Data science blogpost using CRISP-DM. I was intriguted to analyze and find business related questions about airbnb listings for Boston. The main motivation to complete this project was to doing my first project for Udacity.

Summary

https://medium.com/@rishabhkapoor2001/stay-in-boston-made-easier-with-airbnb-538843f2ce50

Acknowledgement

The project is formulated by Udacity as a part of Data Scientist Nanodegree Program and the dataset is part of Airbnb which has been provided by Kaggle.

wiki: https://en.wikipedia.org/wiki/Airbnb