When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

This paper presents the PTProsumer dataset, a high-resolution dataset of photovoltaic (PV) production and net-load measurements collected from 24 prosumers - entities that both produce and consume ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

In today’s data-driven world, electric meter readings go beyond tracking consumption—they tell a story. From identifying usage patterns to uncovering inefficiencies, analyzing electric meter data can ...

Data visualization is an effective tool for converting complex datasets into clear and understandable visual formats. Data visualization is crucial in data analysis so that analysts, researchers, and ...

The DataProfiler is a Python library designed to make data analysis, monitoring, and sensitive data detection easy. Loading Data with a single command, the library automatically formats & loads files ...

A data analysis project exploring consumer behavior and sales trends through EDA using Python. Includes visualizations and insights derived from retail shopping data. [BETA — v2 rebuild] MCP server ...

Optimized apps and websites start with well-built code. The truth, however, is that you don't need to worry about performance in 90% of your code, and probably 100% for many scripts. It doesn't matter ...

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...