Week 3: fitting¶
In data science, fitting is the process of adjusting a model to a dataset to find the best representation of the patterns and relationships within it. This involves tweaking the model's internal parameters to minimize the difference between the model's predictions and the actual data, often by using a cost function. The goal is to create a model that can accurately make predictions on new, unseen data
Here is my list of datasets (click on the dataset name to see my "fitting" attempts)
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