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 analysisData visualizationMachine learning, principal component analysis, clusteringModel drift and re-running analysisWhat kind of tweets perform wellAnd much moreLinks:Applied Pandas: Twitter Analytics — the course

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