This project is about the idea of using AI to predict stock trends for different time frames. It combines methods to download and explore data from different tickers, to get an idea of how well a stock price is performing in future. For that, it uses multiple ML-models to conduct the predictions.
The program consists of multiple python classes and a Jupter notebook, which is divided into three main sections:
The notebook provides widgets, which enables…
For the very beginning of my data science carrier, I wondered, if datasets from Airbnb combined with some ETL could help me to find hints, what I should take into consideration, if I wanted to book an accommodation in Seattle by using a platform like booking.com or in this case, Airbnb.
As I mentioned before, to start my investigations, I used datasets from Airbnb, which are dealing with the price and availability per accomondation as well as descriptions of the apartments and their overall review scores.
All accommodations are located in Seattle.
By looking at the raw data, every accomondation…