When working with machine learning models, raw data often isn't enough. Features in your dataset may need transformation to make them understandable for algorithms, especially when dealing with categorical data. That’s where encoding techniques like One-Hot Encoding and Ordinal Encoding come into play. What Are One-Hot Encoding and Ordinal Encoding? One-Hot Encoding One-hot encoding is... Continue Reading →
How I fell in love with Data Science
Data Science became my passion in a very unexpected and simple way. It was through an assignment in my Advanced Python class, working with a simple dataset. The dataset contained over a century's average high temperatures in New York City for January. The goal was to predict future temperature trends, but I learned much more... Continue Reading →
Facing My Fears as a First-Time Project Manager
Tomorrow, I will be stepping into my first role as a project manager at my Computer Science club. I’m excited to share some of the ideas that I have been cooking for some time with the students and collaborate on a project. However, a layer of fear has crept into my thoughts. What if I... Continue Reading →
Git and GitHub: A Beginner’s Guide to Version Control
At a recent meeting at the Computer Science club, I was approached by a freshman student who was seeking advice on how to properly use version control and what are the benefits. This wasn't the first time someone approached me or asked about Git and Git Hub in my time at school. I decided then... Continue Reading →
Getting Started in Data Science: A Beginner’s Guide to Essential Libraries
Embarking on the journey of Data Science can be both exciting and overwhelming. There’s so much to learn—statistics, machine learning algorithms, data manipulation, and more. However, a few essential Python libraries can simplify the process and get you up to speed. In this post, I’ll briefly walk you through two fundamental libraries—pandas, NumPy, Scikit-learn, and... Continue Reading →
A leap into Data Science
The journey through computer science is long, wide, and full of branches, leading to countless destinations. Some paths intersect, while others diverge entirely. Right now, I find myself at a crossroads, where I must choose which direction to follow—and honestly, it’s terrifying. What if the path isn’t as clear as I’d like? What if I... Continue Reading →
Learning with Data 