Results for tag: regression

MIT xPro Case Study 6.1 - NYC Taxi Trips

Case Study Description: To predict the trip duration of a New York taxi cab ride, we can build different types of features and evaluate them. We will start by describing what is a feature in this context; then we will develop some elementary features and add features using the software package featuretools. We will assess how these features perform in predicting trip duration.

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Single Layer Neural Network

The idea of this notebook is to explore a step-by-step approach to create a single layer neural network without the help of any third party library. In practice, this neural network should be useful enough to generate a simple non-linear regression model, though it’s final goal is to help us understand the inner workings of one.

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