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Statistics, probability, linear algebra, and mathematical foundations for data science
Statistics & Mathematics
Mathematical foundations for data science, machine learning, and statistical analysis.
Quick Start
import numpy as np
import scipy.stats as stats
from sklearn.linear_model import LinearRegression
# Descriptive Statistics
data = np.array([23, 45, 67, 32, 45, 67, 89, 12, 34, 56])
print(f"Mean: {np.mean(data):.2f}")
print(f"Median: {np.median(data):.2f}")
print(f"Std Dev: {np.std(data, ddof=1):.2f}")
print(f"IQR: {np.percentile(data, 75) - np.percentile(data, 25):.2f}")don't have the plugin yet? install it then click "run inline in claude" again.