Classification-Based Machine Learning for Finance

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Classification-Based Machine Learning for Finance, Hands on guide on using classification based Machine Learning techniques with application in finance and investment

Created by Anthony NG

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What you'll learn

• Understand and implement logistic regression, linear discriminant analysis, quadratic discriminant analysis, Stochastic Gradient Descent classifier, Nearest Neighbors, Gaussian Naive Bayes and many more in Python for investment.
• Design investment strategies following professional Quant work flow
• Understanding and implement machine learning techniques utilizing Python scikit-learn library.
• Gain a deeper appreciation of challenges of modelling financial time series
• Understand the different categories of machine learning
• Understand the limitations of various machine learning techniques
• Develop a deep intuition of machine learning project and avoid making costly mistakes

Requirements

• Good understanding of Python data science stack.
• Deep appreciation of finance, algorithmic trading, and hedge fund investment strategies