ML Techniques Summary Apr 13, 2025 1. Conditional Probability Solution Steps: Simulate Data: Generate random data using numpy.random.choice for age groups and purchase probability. Count total purchases and group them by age. Compute Conditional Probability: Calculate $ P(purchase | age group) $ using the formula $ P(E|F) = \frac{purchases in age group}{total in age group} $. Compute Overall Probability: Calculate $ P(purchase) = \frac{total purchases}{total trials} $. Analyze Independence: Compare $ P(E|F) $ and $ P(E) $ to determine if the variables are independent. ... ➦