Neptune blog

In-Depth Articles for Machine Learning Practitioners

Binary Classification: Tips and Tricks from 10 Kaggle Competitions

Imagine if you could get all the tips and tricks you need to tackle a binary classification problem on Kaggle or anywhere […]

Explainable and Reproducible Machine Learning Model Development with DALEX and Neptune

Machine learning model development is hard, especially in the real world. Typically, you need to: understand the business problem, gather the data, […]

Keras Loss Functions: Everything You Need To Know

You’ve created a deep learning model in Keras, you prepared the data and now you are wondering which loss you should choose […]

Best Practices for Dealing with Concept Drift

You trained a machine learning model, validated its performance across several metrics which are looking good, you put it in production, and […]

How to Track Machine Learning Model Metrics in Your Projects

It is crucial to keep track of evaluation metrics for your machine learning models to: understand how your model is doing be […]

Tabular Data Binary Classification: All Tips and Tricks from 5 Kaggle Competitions

In this article, I will discuss some great tips and tricks to improve the performance of your structured data binary classification model. […]

The Best Tools to Visualize Metrics and Hyperparameters of Machine Learning Experiments

Evaluating your model on the key metrics is a crucial first step in understanding your model quality. Keeping track of hyperparameters and […]

Keras Metrics: Everything You Need To Know

Keras metrics are functions that are used to evaluate the performance of your deep learning model. Choosing a good metric for your […]

F1 Score vs ROC AUC vs Accuracy vs PR AUC: Which Evaluation Metric Should You Choose?

PR AUC and F1 Score are very robust evaluation metrics that work great for many classification problems but from my experience more […]

24 Evaluation Metrics for Binary Classification (And When to Use Them)

Classification metrics let you assess the performance of machine learning models but there are so many of them, each one has its […]