Code-Along #6: Can social media data predict cryptocurrency prices?
Make API calls on Twitter and CoinGecko to obtain data and train a machine learning price movement classifier.
proficient in Python?
interested in seeing how different datasets can be used together?
hoping to use ML in the finance industry?
Join UpLevel in our monthly Code-Along!
In this month’s code-along, UpLevel co-founder and instructor Jackie will teach you to use social media data and correlate it with cryptocurrency price movement, assessing if there is a relationship between the two. You will be obtaining data from Twitter and CoinGecko, then using machine learning to train a price movement classifier.
What You’ll Do
Acquire data from Twitter and CoinGecko via API
Cleaning and pre-processing tweets
Correlating data obtained from tweets with a select cryptocurrency’s price movement
UpLevel Datanauts* will also get access to the following
AMA in the final 15 min
recording of both the code-along and the AMA
project notebook to accompany the code-along
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