Udacity data science nanodegree project 1
- Libraries used
- Project Inspiration
- File Descriptions
- Data Insights
- Licensing, Authors, and Acknowledgements
Python version 3.0.
Plugins and imports used were: Pandas, MatplotLib.
Libraries:Pandas,Scikit-learn, numpy, matplotlib, seaborn, collections
What ideas, images, or feelings will jump to our head if someone mention Boston? To me, Boston is a city in USA which has few top univeristies in the world, other than this I have zero thought about Boston. But what’s in Boston, where should we stay if we want to visit Boston? Which neighborhood suits us the best? How much does it cost per night? Can we stay with Airbnb?
I have few questions
Question 1: Can we describe the vibe of each Boston neighborhood using listing descriptions?
Question 2: Is there a general upward trend of both new Airbnb listings and total Airbnb visitors to Boston?
Question 3: How much Airbnb homes are earning in certain time frames and areas?
Question 4: If there is anything about the properties that helps you predict price?
project1.ipynb : Jupyter notebook containing all the codes and results
data.csv : 3 data sets, calender.csv, listing.csv, and review.csv
pic.png : pictures export from python that I used for blog
The exploration and anlyasis of this data has been posted in Medium as a blogspot and you can access the same here.
Data : Kaggle here
Medium Post: Blog