{"repo":"francescodisalvo05/66DaysOfData","free":true,"listed":false,"github":"https://github.com/francescodisalvo05/66DaysOfData","clone":"git clone https://github.com/francescodisalvo05/66DaysOfData.git","description":"#66DaysOfData challenge in Financial Machine Learning and NLP","language":"Jupyter Notebook","stars":24,"topics":["machine-learning","data-science","finance","nlp"],"license":null,"category":"machine-learning","readme_excerpt":"#66DaysOfData 💡 The #66DaysOfData challenge consists on learning data science every day for 66 days and sharing the progress on a social media 🎯 It has been a great journey thanks to which I have had the chance to learn more, especially about Financial Machine Learning, Algorithmic Trading and Natural Language Processing. I can definitely say that I have learnt a lot and I have met a lot of amazing people along the way, that enriched, not only my technical skills, but also my desire to learn and share new things! Thank you for your kind support, let's see to the next challenge! Francesco 🚧 From To What I have studied ------------- ------------- ------------- Day 0 Day 7 Financial Machine Learning Day 8 Day 20 Algorithmic Trading Day 21 Day 33 Natural Language Processing Day 34 Day 37 Web Scraping and Text Analysis Day 38 Day 44 Natural Language Processing - Part 2 Day 45 Day 65 Reading Papers, Web Scraping, Python, Ted Talks DAY-0 : Today I discovered two interesting libraries for extracting financial information. The first one is yFinance that extracts its information from Yahoo Finance. Thanks to the Ticker module we are able to select one or more tickers. Then, with the history method we are allowed to download the historical values in a specific period within a particular interval (daily,weekly..). It provides seven features: Open, High, Low, Close, Volume, Dividends, Stock Splits. Finally, we can gain some other information with the info method (123 in total). These i","default_branch":null,"files":null,"tree":[],"storefront":"/r/francescodisalvo05","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/francescodisalvo05/66DaysOfData/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}