Implement Inference with Probability Using NumPy

Implement an algorithm using NumPy that involves probability and inference. Using the provided dataset, calculate the probability of a certain event occurring through inference methods. Requirements: Input: File path of a dataset (CSV), where each line contains multiple features. Output: Probability value of the target event occurring. Consider using Bayesian inference methods. Provide at least three test cases covering small, medium, and large scale datasets. Example data format: Each line of data is comma-separated, e.g., feature1, feature2, ..., target Target output is a probability value, e.g., 0.75 Please ensure that the code can run independently locally and requires printing the calculated probability value based on the input data. Example Input path/to/small_dataset.csv