Ad

Thursday, December 28, 2017

Using Python Pandas to analyze and visualize financial data

Using Pythons pandas to analyze and visualize financial data http://pandas.pydata.org/pandas-docs/version/0.13.1/visualization.html Visual examples include multi axis plotting, subplots, bar chart, stacking bar chart, box plot aka candle stick plot, sample code making a scatter matrix, seaborn kernal density estimation (kde) plot, Andrew Curves, Parallel Coordinates, Lag Plot, AutoCorrelation Plot, Bootstrap Plot, RadViz, ColorMaps,

2 comments:

  1. I am incapable of reading articles online very often, but I’m happy I did today. It is very well written, and your points are well-expressed. I request you warmly, please, don’t ever stop writing. diseƱo paginas web barcelona

    ReplyDelete

Regularization in Machine Learning, Deep Learning

Regularization can prevent overfitting and potentially make algorithm converge faster and more performant. Useful in deep learning tasks, in...