Created a notebook in which the bitcoin-trading dataset was cleaned.
The conclusion of the notebook is that there are two approaches we would use to build a model on:
Imputing the Nan values
Dropping rows with Nan values
After building our models on the two datasets created with the two approaches, we will choose the model with the best performance as our final model.
Created a notebook in which the bitcoin-trading dataset was cleaned. The conclusion of the notebook is that there are two approaches we would use to build a model on:
After building our models on the two datasets created with the two approaches, we will choose the model with the best performance as our final model.
View the notebook here
Find link to the card here