Create a KNN Classifier Model with default parameters
Fork the dataset and the Python notebook
Locate #Issue 5 in the Jupyter notebook
Create a K Nearest Neighbours Classifier Model with default parameters. (Model does not have to be created from scratch, sci-kit learn defined models are accepted)
Use the variable 'model1' to instantiate this model, and fit it on the training data.
Your PR must contain the edited ipynb file with the same name as the original. Kindly edit only the block of code pertaining to the issue :)
Create a KNN Classifier Model with default parameters Fork the dataset and the Python notebook
Locate #Issue 5 in the Jupyter notebook Create a K Nearest Neighbours Classifier Model with default parameters. (Model does not have to be created from scratch, sci-kit learn defined models are accepted) Use the variable 'model1' to instantiate this model, and fit it on the training data.
Your PR must contain the edited ipynb file with the same name as the original. Kindly edit only the block of code pertaining to the issue :)