Description
It took nearly 5 months to complete 8 data science projects. From the first project to the last, I learned about various aspects and tools of data science. Furthermore, I’ve experimented with several components of the project locally for my own enjoyment.
This covers:
✅ Exploratory Data Analysis
✅ Data Wrangling
✅ Data Visualization
✅ Work with Imbalanced data using resampling
✅ Python OOP
✅ MongoDB
✅ SQL
✅ API (FastAPI)
✅ Classification and Regression Models
✅ Time-series Data and GARCH model
✅ Model Deployment in Web
I’ve included a few core methods that I’ve learned from the entire Applied Data Science Lab. I especially want to thank Nicholas Cifuentes-Goodbody, who has such an amazing way of teaching with both fun and knowledge, as well as WorldQuant University for providing us with this opportunity for free.