It was a competition on KAGGLE for prediction on the most sales products on bikes via their features
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Updated
Aug 29, 2024 - Python
It was a competition on KAGGLE for prediction on the most sales products on bikes via their features
Sub-seasonal temperature and heatwave prediction in Central Europe with AI (linear and random forest machine learning models)
School exercise - Multivariate Statistical Methods subject
This model trains according to the data and makes a Polynomial Regression curve of degree 16. The model is regularized using Ridge regression. It also compares the predicted values with original outputs and for different alphas.
As part of the UCSanDiego online course "Machine Learning Fundamentals"
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