Week 1: Model Research

Ishan B -

 This week, I have been researching the different types of regression models to better understand which one will be optimal for my use case. Some examples of the different types of regression models are linear regression, logistic regression, polynomial regression, and lasso regression. After deciding which one I will use, I will find open source models of each using sources such as TensorFlow, Keras, and Sci-kit Learn.

I have also been reading Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow to learn more about both machine learning in general and learn more about these specific models.

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    camille_bennett
    Hi Ishan, looks like interesting work! What are some considerations when selecting a regression model for this project?
    February 17, 2025 at 1:16 pm - Reply
    ishan_b
    When selecting a regression model, the main considerations will be to make sure that the training data is not overfit, meaning that it can work for any type of business, and which one will be most accurate. I will be training the linear, polynomial, lasso, and ridge regression models on my data to see which one gives the best results.
    February 20, 2025 at 12:23 pm - Reply

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