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Time Series Analysis

Derek Banas ↗

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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? I have additional videos on Time Series Analysis Exclusively on Udemy along with over 49 hours of additional videos that will allow you to Master Data Science here http://bit.ly/DataScienceTut ► Time Series Visualizations : Covers Matplotlib, Seaborn and Plotly. I cover numerous ways to style charts. ► 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 ► 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 The most in demand skills in the world right now are in Data Science & Machine Learning! I will teach you everything imaginable about Data Science & Machine Learning including all the math, libraries, algorithms so that rather then

Published 2020-10-16 · Watch on YouTube ↗
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