Introduction In this post I want to take a look at my Netflix viewing habits. The first step is getting the data and you can request your viewing data from the Accounts section in your Netflix account. Netflix will allow you to download a zip file with many different ways to slice this information. # Import the libraries import pandas as pd import numpy as np import seaborn as sns from pandas.

Continue reading

Introduction In this post, we are going to look at some publicly available data to dig deeper into exploratory data analysis and machine learning techniques. We’ll look at some data from Jonathan McDowell’s Catalog site. This site has data about man-made objects launched into space and all the debris we have created in near earth orbits. We’ll try to load the file directly from the site. This allows us to get the most recent data from the internet.

Continue reading

Introduction In this post, we are going to look at some publicly available data to dig deeper into exploratory data analysis and machine learning techniques. I am going to start by fetching some data from the inter webs, this data is available at the FuelEconomy.gov site. This file has fuel economy data for all cars sold in the United States for several years. Let’s start by loading the libraries we need:

Continue reading