KDnuggets™ News 20:n42, Nov 5: Top Python Libraries for Data Science, Data Visualization & Machine Learning; Mastering Time Series Analysis

KDnuggets™ News 20:n42, Nov 5: Top Python Libraries for Data Science, Data Visualization & Machine Learning; Mastering Time Series Analysis

Top Python Libraries for Data Science, Data Visualization, Machine Learning; Mastering Time Series Analysis with Help From the Experts; Explaining the Explainable AI: A 2-Stage Approach; The Missing Teams For Data Scientists; and more.


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What can Data Scientists learn from the 2020 US Presidential Election? The outcome is still undecided, but it seems that the polls in several swing states have overestimated democratic vote, as they did in 2016. Precise prediction of human behavior is difficult, and small errors (eg 48% instead of 52%) that are acceptable in consumer analytics take on the outsize importance, when predicting election results in a swing state. Keep such possibilities in mind, examine prediction assumptions, and try to use different data sources to reduce error. GP

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