Here’s a collection of posts I’ve put together to break down intermediary and complex data science concepts into simpler, more intuitive explanations. Whether you’re looking to deepen your understanding of the subject or just curious about innovative approaches in data science, you’ll find a range of insights and practical guides that might catch your interest.
Data Science Posts
- Dash: An Intriguing Framework, to Say the LeastCode: https://github.com/igor17400/sakura-time-series As a data scientist, you’ve probably had some pretty awesome ideas, and at your best, turned them into cool animations using Python libraries in Jupyter notebooks. But when you tried showing them to someone—like your parents—they might have just seen a bunch of colorful graphs in some weird tool called “Jupyter Notebook.” To… Read more: Dash: An Intriguing Framework, to Say the Least
