
Time Series Analysis
In this video I'll show you the basics of Tim Series Analysis. I'll cover all the libraries you need, Pandas Datetime Object, Resampling, File I/O, Plotting, Creating Moving Averages, Shifting Time Data and more. Files on GitHub : https://github.com/derekbanas/TimeSeriesAnalysis
DO YOU WANT TO MASTER DATA SCIENCE?
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โบ Time Series Visualizations : Covers Matplotlib, Seaborn and Plotly. I cover numerous ways to style charts.
โบ Time Series Analysis with StatsModels : I focus on Trends, Error Trend Seasonality Decomposition and Exponential Weighted Moving Averages. I also cover pulling data based on date ranges, rolling mean, smoothing results, built-in datasets, creating and indexing datetimes and much more
โบ Time Series Analysis Holts-Winter : I cover moving averages, weighted moving averages, single exponential smoothing, double exponential smoothing, triple exponential smoothing and how all of the formulas work with a ton of examples
Datasets Mentioned : https://vincentarelbundock.github.io/Rdatasets/datasets.html
#Python #DataScience #TimeSeriesAnalysis
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