ml-finance-python

python scripts for finance machine learning

git clone https://9o.is/git/ml-finance-python.git

README.md

(510B)

      1 # Chapter 21 - Next Steps
      2 
      3 ## Key Takeaways and Lessons Learned
      4 
      5 ### Data is the single most important ingredient
      6 
      7 ### Domain expertise helps unlock value in data
      8 
      9 ### ML is a toolkit for solving problems with data
     10 
     11 ### Model diagnostics help speed up optimization
     12 
     13 ### Beware of backtest overfitting
     14 
     15 ### How to gain insights from black-box models
     16 
     17 ## Machine Learning for Trading in Practice
     18 
     19 ### Machine Learning Tools and Big Data Technologies
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     21 - [Beakerx](https://github.com/twosigma/beakerx) by Two Sigma