Top Python Libraries for Data Science, Data Visualization & Machine Learning; Mastering Time Series Analysis

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What can Data Scientists study from the 2020 US Presidential Election? The final result remains to be undecided, however evidently the polls in a number of swing states have overestimated democratic vote, as they did in 2016. Precise prediction of human conduct is troublesome, and small errors (eg 48% as a substitute of 52%) which can be acceptable in client analytics tackle the outsize significance, when predicting election ends in a swing state. Keep such potentialities in thoughts, look at prediction assumptions, and attempt to use totally different information sources to scale back error. GP

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Top Python Libraries for Data Science, Data Visualization, Machine LearningTop Python Libraries for Data Science, Data Visualization, Machine Learning;

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