Turning data into knowledge, One step at a time
One of my favorite parts of the SURE Program was experimenting with different machine learning models. Going in, I thought the whole goal was to find the model that performs best. But what I discovered is that each model looks at the problem differently, and sometimes the real value comes from comparing their perspectives. The... 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 →
Learning with Data 