When learning data science and machine learning techniques, you need to work on a data set.
Matt Harrison had a great idea: Why not use your own Twitter analytics data?
So, he did that with his own data, and shares what he learned in this episode, including some of his secrets to gaining followers.
In this episode we talk about:
Looking at your own Twitter analytics data.
Using Python, pandas, Jupyter for data cleaning and exploratory analysis
Data visualization
Machine learning, principal component analysis, clustering
Model drift and re-running analysis
What kind of tweets perform well
And much more Special Guest: Matt Harrison.