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Data Analysis for ML/AI

Time series analysis

Date indexing, resampling, rolling windows, seasonality, autocorrelation.

5 lessons Follow in order
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Lessons in sequence

Work through these in order—each lesson builds on the previous one.

  1. Lesson 1 of 5

    Time as an index

    Enroll to open · 10 min read

  2. Lesson 2 of 5

    Resampling and rolling windows

    Enroll to open · 10 min read

  3. Lesson 3 of 5

    Seasonality and trend

    Enroll to open · 10 min read

  4. Lesson 4 of 5

    Autocorrelation and stationarity

    Enroll to open · 9 min read

  5. Lesson 5 of 5

    A time series analysis checklist

    Enroll to open · 8 min read

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