A new perspective on data science
by Identifying your needs and making a plan
Brief background
I was an engineer in the manufacturing industry (and still am so far), things became boring so I decided to make some changes and learn something new. In the beginning of this year, I followed everyone who are transforming their career would do nowadays, I started to learn coding, in data science and machine learning. I am still learning, but I have picked up many things that I wouldn’t imagine knowing 6 months before. At first I just learned on various platforms, since May I started updating my projects in GitHub to track progress. I find self-learning fun and challenging…
Background:
In this blog, I will show you some insights from Airbnb’s Seattle listing dataset in 2016. Anyone interested in seeing how it is done can check the codes in my repo.
2016 may sounds a long time ago, but the trend never dies. The listings in Seattle 2016 that have higher prices than average have to share many qualities with their counterparts in New York 2020. The information about seasonal and neighbourhood traffic in Seattle also remains. So, let’s check out the mysteries behind Seattle’s listing data.
What are the top contributors to listing price in Seattle?
There are a lot of features to start with, even after some major…
Claire Gong
Novice data scientist, love to learn.
