Beyond EDA: Intelligent Data Preprocessing with LLM-Powered Imputation
This project goes beyond traditional EDA by combining advanced preprocessing techniques with LLM-powered intelligent imputation. It covers missing value handling, outlier detection, encoding, and scaling in a fully automated pipeline.
Exploratory Data Analysis (EDA) is the most fundamental and very important step in data science and machine learning. Before we build any machine learning model or present business insights we…
Have you ever noticed how your phone knows when to buzz, how google gives you the right answers or how video games respond to every click of button you press….
So, now we will dive into step by step roadmap to learn machine learning with the resources mostly free. It doesn’t matter whether you are a beginner or an expert…
The process of creating a machine learning model is complex and requires more than just theoretical knowledge; it also calls for a practical grasp of machine learning tools and fundamental…
