How to Solve the Problem of Imbalanced Datasets: Meet Djinn by Tonic(tonic.ai)

9 pointsby madelyn-goodman4 anni fa1 comments

How to Solve the Problem of Imbalanced Datasets: Meet Djinn by Tonic

https://www.tonic.ai/blog/how-to-solve-the-problem-of-imbalanced-datasets-meet-djinn-by-tonic

1 comments

It’s so difficult to build an unbiased model to classify a rare event since machine learning algorithms will learn to classify the majority class so much better. This blog post shows how a new AI-powered data synthesizer tool, Djinn, can upsample synthetic data even better than SMOTE and SMOTE-NC. Using neural network generative models, it has a powerful ability to learn and mimic real data super quickly and integrates seamlessly with Jupyter Notebook.

Full disclosure: I recently joined Tonic.ai as their first Data Science Evangelist, but I also can say that I genuinely think this product is amazing and a game-changer for data scientists.

Happy to connect and chat all things data synthesis!