Scanning hyperspace: how to tune machine learning models
Tutorials

Scanning hyperspace: how to tune machine learning models

Introduction When doing machine learning using Python’s scikit-learn library, you can often get reasonable predictive performance by using out-of-the-box settings for your models. However, the payoff can be huge if you invest at least some time into tuning models to your specific problem and dataset. In the previous post, we explored the concepts of overfitting, … Continue reading