In this project, I worked with transactional data from an online retail store. The dataset contained information about customer purchases, including product details, quantities, prices, and timestamps ...

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 you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

The Federal Reserve unveiled its annual stress test scenarios for large banks Wednesday, putting them through severe global recession scenarios with added stress in commercial, residential real estate ...

Sentiment analysis, i.e., determining the emotional tone of a text, has become a crucial tool for researchers, developers, and businesses to comprehend social media trends, consumer feedback, and ...

The Basics of Returns-Based Style Analysis Fetching Data for Style Analysis Case Study: Looking for Investment Style Drift Unlock More Code Snippets for Rigorous Fund Evaluation Investors choose funds ...

Abstract: The use of Data Envelopment Analysis (DEA) to evaluate efficiency is widely discussed in production and logistics environments. The literature uses classical DEA models mainly to carry out ...

Abstract: As the field of machine learning continues to advance, the importance of effective exploratory data analysis (EDA) cannot be overstated, especially in the context of classification problems.

Drought frequency has increased worldwide in recent years due to global warming, causing famine, water shortage, and economic loss. This paper aimed to assess the meteorological drought in Algeria, ...