The notebooks here will run through examples using popular PyData libraries.
For Mac users: my install steps for Python 3.5 and useful libraries.
Topics covered:
- Pandas to read csv and linear regression with scikit-learn
- Image analysis to count circles with openCV
- Text analysis by web scraping with BeautifulSoup and construct a count matrix with scikit-learn
- Time series analysis using FFT and curve-fitting from numpy and filtering time series with statsmodel.