“Data Sparks” are recorded lessons that teach data science skills for machine learning and deep learning using fundamental programming and mathematical skills. You will learn how to think and solve problems like a data scientist using the following framework:
- Obtain Data
- Scrub Data
- Explore Data
- Model Data
- Interpret Data
Follow along with the lessons using the code notebooks in the GitHub repository below.
Where to find datasets:
- Google Dataset Search
- Kaggle
- Data.Gov
- Datahub.io
- UCI Machine Learning Repository
- Earth Data
- CERN Open Data Portal
- Global Health Observatory Data Repository
- BFI Film Industry Statistics
- NYC Taxi Trip Service
Spark Lessons
UPCOMING: Building Predictive Models With Python
Interviews
Research