- Notebooks, Code
- 14 Supervised Learning
- 15 Unsupervised Learning
- 16 Feature Engineering
- 21.1 Time Series 1
- 21.2 Time Series 2
- 25 PySpark
brief overview of completed courses
- Python
- introduction, intermediate, functions, "toolbox"
- data importing, data cleaning, data types
- statistical thinking
- pandas
- data maniupulation, joining,
- SQL
- intro, intermediate, joining data
- scikit-learn, statsmodels
- supervised learning, unsupervised learning, time series analysis, feature engineering
- other
- PySpark, Git