Machine Learning, Investment, AI, Sklearn, Quant.
plt.show() plt.figure(figsize=(10, 5)) sns.histplot((np.log(dataset.Close) - np.log(dataset.Close.shift(1)) ).dropna(), kde=True, bins=50) plt.title('Distribution of Log Returns') plt.xlabel('Log Return') plt.ylabel('Frequency') plt.show() Step 4: Data Cleaning and Transformation Data Cleaning We