Airbnb Analytics #3 Data Cleaning & How Programming Knowledge May Help You Invest скачать в хорошем качестве

Airbnb Analytics #3 Data Cleaning & How Programming Knowledge May Help You Invest

Part I - Airbnb Analytics #3 - Data Cleaning Airbnb Analytics is an Educational Data Science Project - https://github.com/x-technology/airbn... Every time I’m about to travel I spend plenty of time for planning. That’s why I use many tools to make it easier. Let’s build another one here together! We all use Airbnb and it’s amazing. But could we make it better? You never know, so let’s try! What might we need for a data-driven project? data data cleaning and preprocessing modeling building a tool Session #3 - Data Cleaning During our first sessions we scraped raw data from the website. Now we are going to prepare it for the next step of the project - a Machine Learning model. There is a saying: "Garbage in - garbage out". Meaning that generally, ML models need clean and preprocessed data to work with. At the webinar, we will look at some techniques of data cleaning in Python, using well-known libraries like pandas, itertools and re(gex). And also discuss a couple of pain points and best practices. Part II - How Programming Knowledge May Help You Invest Investing is hard, especially if you've never dealt with financial reports and have little to no clue about what the heck is EBITDA. But is there a way to invest your money without spending dozens of hours on companies investigation? The answer is yes — one can achieve that via passive ETFs. We will briefly discuss basics of investing in passive ETFs, why it works and explore one of well-known approaches (with my slight modifications) to form an assets portfolio using some math and programming. Follow us on: Twitter   / xtechnology5   Telegram https://t.me/xtechn Eventbrite https://www.eventbrite.co.uk/o/xtechn... Github https://github.com/x-technology