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  1. Scikit-Learn
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yourquant_rick on Instagram: "Cross-validation is the backbone of machine learning validation. But what works in image recognition or NLP breaks down completely in financial ML. Traditional k-fold cross-validation assumes data points are independent, identically distributed, and exchangeable — none of which are true in financial markets. Market data is non-i.i.d.: Prices are autocorrelated (yesterday influences today). Volatility clusters. Regimes shift between bull, bear, and sideways markets.
1:07
yourquant_rick on Instagram: "Cross-validation is the backbone of machin…
6.8K views1 day ago
Instagram
Q3/30 : k-fold Cross Validation and why it is important. #machinelearninginterview
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Q3/30 : k-fold Cross Validation and why it is important. #machinelearnin…
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