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 professors rating has anything to do with how attractive they are. Also we'll explore how to get bigger tips.
Code is Here : https://github.com/derekbanas/StatsModelsRegressions
I will be covering TensorFlow in detail over the next few weeks.
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Probability in One Video : https://youtu.be/sEte4hXEgJ8
Statistics in One Video : https://youtu.be/tcusIOfI_GM
NumPy in One Video : https://youtu.be/8Y0qQEh7dJg
Pandas in One Video : https://youtu.be/PcvsOaixUh8
Matplotlib in One Video : https://youtu.be/wB9C0Mz9gSo
Seaborn in One Video : https://youtu.be/6GUZXDef2U0
Plotly in One Video : https://youtu.be/GGL6U0k8WYA
Datasets Mentioned : https://vincentarelbundock.github.io/Rdatasets/datasets.html
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#Python #DataScience #StatsModels
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