python

A Complete Guide to Classification Metrics: Beyond Accuracy

Imagine you’ve built an AI model to sort fruit. After training, you test it on 100 pieces of fruit (80 apples and 20 oranges). The model correctly identifies 85 of them. Is it a good model? Your first instinct might be to say it’s “85% accurate,” and therefore pretty good. But what if I told …

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Effortlessly Access Your Conda Environments in Jupyter Notebooks:

As a data scientist or developer, you probably use Jupyter Notebooks to streamline your workflow and interactively run your code. To manage different projects and dependencies, you likely rely on Conda environments. But what if you want to use Jupyter Notebooks with your custom Conda environments? In this blog post, we’ll walk you through a …

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