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

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Customer churn is one of the most critical business metrics for subscription-based and service-oriented companies. This project performs a comprehensive analysis of customer churn behavior using ...

Banking Customer Analytics Project using Python, Pandas, NumPy, Matplotlib and Seaborn to analyze customer demographics, banking relationships, deposits, loans income and financial behaviour throug ...

In just three weeks, a Northwestern summer program introduces high school students to astronomy, art and coding. The Research ...

I'll explore how integrating a comprehensive AI-driven onboarding framework can provide a realistic, effective blueprint for modern financial institutions.

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place ...

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine learning, deep learning, MLOps, LLMs and Generative AI ...

Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines ...

Smart speakers such as Alexa, Google Home, and Apple Home have transformed how people interact with technology, enabling ...

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.