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day20-time-series-102's Introduction

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Pre-Reading List

  1. Seasonal_adjustment
  2. lag-plot

Learning Objectives

  1. Learn Time Series Data Visualization
  2. Learn Line Plots.
  3. Learn Histograms and Density Plots.
  4. Learn Box and Whisker Plots.
  5. Learn Heat Maps
  6. Learn Lag Plots or Scatter Plots.
  7. Learn Autocorrelation Plots.
  8. Understand Trends in time series data
  9. Understand types of trends
  10. Identify trends
  11. Learn to use time series trends in Machine Learning
  12. Understand detrend by model fitting
  13. Understand Seasonality
  14. Understand types of Seasonality
  15. Understand seasonal adjustment with differencing and modeling

Slides

@gslides

Post-Reading List

  1. time-series-data-visualization
  2. time-series-trends-in-python

day20-time-series-102's People

Contributors

gyandhanee avatar gowthamdongari avatar

Watchers

Soumendra Prasad Dhanee avatar James Cloos avatar Suraj Jadhav avatar PradeepJaiswar avatar Mayuresh Suresh Shilotri avatar Sangam Angre avatar Shweta Doshi avatar

Forkers

ameya-s

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