These are my go-to libraries for Python data crunching.

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

PySR is an open-source tool for Symbolic Regression: a machine learning task where the goal is to find an interpretable symbolic expression that optimizes some objective. Over a period of several ...

tikreg is a Python package that efficiently implements Tikhonov regression. Tikhonov regression gives us a framework to estimate spatiotemporal encoding models with non-spherical multivariate normal ...

In celebration of the festive season, schools and colleges are closed in India. This is the right time to enjoy and learn some self-paced courses. In this article, we will be sharing some free Python ...

Funding mechanisms impact the cost effectiveness of the science conducted, as extramural NIH grants to universities excel at producing papers and citations, while intramural NIH hiring more ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

Abstract: An imbalanced dataset is a dataset that has a majority class which is a class has far more example distributions than other classes. It is difficult to deal with unbalanced datasets in ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...