This project explores and cleans the Titanic dataset from Kaggle using Python. It focuses on handling missing values, feature engineering, outlier removal, and transforming variables for further ...

Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

🧠 Case study on data preprocessing and behavioral analysis of TechnoMagicLand visitors. Includes clustering, correlation, and visualization in R, with focus on identifying repeat visitors and ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Let's discuss the data that gets fed into ChatGPT first, and then the user-interaction phase of ChatGPT and natural language. ChatGPT's training datasets The dataset used to train ChatGPT is huge.