We’ve all been there: you get a new dataset, and your first instinct is to understand what’s happening beneath the surface. Which features matter most? What relationships exist in the data? How can we visualise complex high-dimensional information? How do we use dimensionality reduction when using ML! This was precisely the situation described in a … [Read more…]
So you decided to get onto the Data Bandwagon by giving Data related careers a shot! Despite, plenty of information online, the challenge with Data Roles is understanding the different types of roles, how to think about it and execute the plan of action. This Data Analytics RoadMap starts with a simple question! Why do … [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…]