Photo by Thom Holmes on Unsplash

In this second episode, we will try to add one categorial feature to our Housing Price problem. Let’s see how to build the probabilistic model and see if we can download the “real data” and make some inference on it.

In addition to the two numeric features, let’s implement the creation a categorical feature:

# Importing basic packages
import numpy as np
import pandas as pd
import warnings
import arviz as az
import matplotlib.pyplot as plt
import pymc3 as pm
import random

The imagination of a world where we finally understand the difference between frequentist and bayesian statistics.

Photo by Max Goncharov on Unsplash

Ever since I started to dedicate time to understand some of the intricate details of A.I, I have been thinking: “Ok, some of the exercises I see on the Internet, I would try to turn it into Bayesian inference for practice.” In time, I realized that to proceed in that direction; I needed two essential elements: (1) an understanding of the difference between frequentist and Bayesian statistics, and (2) a friendly computational tool that allowed me to accomplish that goal without quitting all my other social duties. With dedication and effort, I am on my way to fulfill (1) “not…

Jose Manuel Ramirez

Physicist and Data Scientist.

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