If you’ve ever wondered, “how to get started with custom LLMs”—you’re not alone. A recent Reddit thread on this topic blew up with advice from hobbyists, researchers, and AI builders. The truth is, “training” means very different things depending on your goals. Do you want the model to know your private data, specialise in a … [Read more…]
Data preprocessing is the foundation of any successful data analysis project. In this blog, we explore the critical steps to clean, transform, and prepare data using the Yahoo Finance Nifty-50 dataset as a case study. Learn how to handle missing values, remove outliers, scale features, and more to enhance data quality and improve model accuracy. Whether you’re a beginner or seasoned analyst, mastering these techniques will amplify your data-driven decision-making.
The most urgent and commonly misrepresented conversation in Data Science is that we never get clean and ready to use data. The .xlsx and .csv will have issues from the source and it is opposite of a treasure hunt to figure out all of them – not fun! If you’ve ever faced difficulty in extracting … [Read more…]