[See Description] Creating our Machine Learning Classifiers - Python for Finance 16
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Published on ● Video Link: https://www.youtube.com/watch?v=IzDPLu1oKfo
UPDATED series: https://pythonprogramming.net/quantopian-trading-strategies-introduction-python-programming-for-finance/
This series has become outdated with Quantopian 2.0.
Now that we have our features and our labels, we're ready to create and train our machine learning classifiers for our algorithmic trading strategy.
The classifiers we use here are the Random Forest, Linear SVC, NuSVC, and Logistic Regression.
sample code: http://pythonprogramming.net
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Tags:
Classifier
Machine Learning (Software Genre)
Statistical Classification
Algorithm (Literature Subject)
Python (Programming Language)
Quantopian
Zipline
algo trading
algorithmic trading
random forest
Linear SVC
support vector machine
Computer Science (Field Of Study)
Logisitc Regression
NuSVC
sklearn
scikit-learn