Time Series Analysis StatsModels

I cover a great deal about Time Series Analysis with StatsModels in this video and I also answer a bunch of common questions. 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,...

Time Series Analysis Visualizations

In this video I’ll cover Time Series Visualizations available using Matplotlib, Seaborn and Plotly. I’ll cover numerous ways to style charts. The files are available on GitHub. Next I’ll cover Time Series Analysis with StatsModels.¬†Soon I’ll cover more with StatsModels, SciPy,...

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. Soon I’ll cover more with StatsModels, SciPy, Scikit-learn, TensorFlow,...

Linear Regressions with StatsModels

In this video I’ll show how to create Linear Regressions with StatsModels. We’ll explore the awesome datasets provided by StatsModels. I’ll also be showing how to work through 2 examples using a combination of NumPy, Pandas, Matplotlib, StatsModels and Seaborn. We’ll explore whether a...

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