A small repository explaining how you can validate your linear regression model based on assumptions
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Updated
May 29, 2021 - Jupyter Notebook
A small repository explaining how you can validate your linear regression model based on assumptions
Metro Interstate Traffic Volume
Perceptron regressing revenue for an ice cream stand according to temperature.
Supervised Learning - Foundations: Analyze the OTT dataset having data related to the current content in the ShowTime platform and come up with a linear regression model to determine the driving factors for first-day content viewership.
Analyze the used devices dataset, build a model which will help develop a dynamic pricing strategy for used and refurbished devices, and identify factors that significantly influence the price.
Analyze used devices dataset, build a model to develop a dynamic pricing strategy for used/refurbished devices, identify factors that significantly influence price.
Supervised Learning - Foundations: Analyze the used devices dataset, build a model which will help develop a dynamic pricing strategy for used and refurbished devices, and identify factors that significantly influence the price.
Analyze the used devices dataset, build a model which will help develop a dynamic pricing strategy for used and refurbished devices, and identify factors that significantly influence the price.
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