The best way to learn about something - to teach it.
In this part of the course, we'll explore some topics that weren't covered in the course.
You'll need to learn about this topic and then write about what you learned in an article. (Of course if you already know something and just want to share your knowledge with us - it's also fine and more than welcome.)
See here
The articles from the 2021 cohort students:
- Hyperparameters for Deep Neural Networks: Getting to Know and How to Tune them Like a Champ! by Hamed Homaei Rad
- Maintaining multiple versions of Python using Anaconda by Aniket Sharma
- Introduction to Reinforcement Learning by Alvaro Navas
- Time Series Modelling & Stock Forecasting in Python by Sukriti Shukla
- Building Machine Learning Zoomcamp course statistics with Plotly library by Timur Kamaliev
- Deploying a Scalable SQL Database Cluster to a DigitalOcean Managed Kubernetes Cluster by Ashok Arora