Diving into data science as a computer scientist means going back to the roots—Statistics, Probability, and Stochastic Processes. While I’ve been applying machine learning algorithms, truly mastering them requires understanding the math behind the magic. That’s why I’ve turned to Udemy to strengthen my foundations, diving deep into statistical inference, probability distributions, and stochastic m...
As a Python developer, choosing Django for web development was a no-brainer—it just makes everything so much easier. Since I already knew Python, I didn’t have to learn a new language, and Django’s "batteries-included" philosophy meant I didn’t waste time reinventing the wheel. Need authentication? Django has it built in. Database models? Just define them in Python, and Django handles the SQL. The...
When I first started learning data science, I felt a bit overwhelmed—there was so much to learn, and I wasn’t sure where to find good datasets to practice on. Then I discovered Kaggle, and it completely changed my journey! It’s like a playground for data lovers, with tons of free datasets on everything from movie ratings to COVID trends. I could finally stop worrying about where to get data and ju...