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Step-by-Step ML Pipeline from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import TimeSeriesSplit from sklearn.metrics import accuracy_score, classification_report # 1. Create target variable df['target'] = (df['close'].shift(-1) > df['close']).astype(int) # 1 = up, 0 = down # 2....