There are lots of knobs (a.k.a hyperparameters) we can turn when coming up with a Machine Learning model. in the script below, we take the well-known iris dataset, and play around with different hyperparameters. First, a few notes: In machine learnin...
Once you have optimized your hyperparameters, it may be nice to create a dataframe that has some of your testing and training data to train your model. Here, we are going to use a KNN model with n_neighbors = 6 and "distance" weights on the iris data...
Problem Statement:Sisense supports forecasting/predicting future values based on historical data as a feature in the Sisense widget. More information about forecasting can be found here. Sisense forecasting relies on Sisense's Cloud Service for data ...
