Turning data into knowledge, One step at a time
Hey folks, It’s been a little quiet around here lately, and I just wanted to check in and share what’s been going on. The short version? Life got busy. The kind of busy that makes you forget what a weekend feels like. Over the past couple of months, I’ve been: Helping run a hackathon (yes,... Continue Reading →
IntroductionWhat would you do if you had just over a month to plan a hackathon from scratch? That was the challenge our CS club faced. With no prior playbook, just determination and teamwork, we pulled off an event that brought students together, sparked creativity and taught us invaluable lessons. Here’s how we did it. Starting... Continue Reading →
When the semester ended and winter break began, I saw it as the perfect opportunity to focus on skill-building. I spent time diving deep into data manipulation with Pandas and experimenting with machine learning models. It was a challenging yet rewarding experience that left me feeling more confident and equipped for future projects. Here’s what... Continue Reading →
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 →
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 →
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 →
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 →
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 