NotebookLM is the study partner I didn't know I needed. Now that I do, I can't image reading without it. Here's why ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

This shift in the development model has significantly lowered the entry barrier. Now, someone with basic programming knowledge, or even a complete novice, can start building practical AI applications ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Once installed, you can start using Anaconda’s tools. You can open ‘Anaconda Navigator,’ which is like a dashboard to manage ...

Overview  GitHub repositories provide hands-on learning of real-world MLOps workflows.Tools like MLflow, Kubeflow, and DVC show how scaling and tracking wo ...

Overview  Docker containers keep data science projects consistent across all systemsBest practices make Docker environments ...

We’ve put together a guide that breaks down the basics, from what Python is all about to how you can actually start using it.

Department of Geomatic Engineering and Geospatial Information Systems, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya. Lake Victoria, the largest freshwater lake in Africa and ...

Abstract: Accounts receivable plays a major role in credit to cash conversion cycle which involves collection management, payment management and debtors aging. Lack of visibility on accounts ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...