What is the difference between data science vs data analytics?
Perhaps you are at the beginning of your career or making a change in your career and want to know the difference between data...
Use Google Colab and Kaggle Data with bonus: fastai2
I was just running through this process and thought it might be helpful for others:
What to do in Kaggle:
Step 1. Go to your Kaggle...
Analyzing NFL Concussion data for Kaggle Data Science Competition
Recently, I entered the NFL Concussion on punt returns contest for data scientists. It wasn't the normal machine learning problem. In fact, it is...
How to import data into Python to run Machine Learning projects
One of the most important aspects of running any machine learning program is the ability to pull in data from various sources and of...
Genetic Programming is an awesome way to tackle machine learning problems
I don't know how I missed out on genetic programming. I'm still trying to pick my jaw up off the ground. It reminds me...
Data Wrangling Part 2: Cleaning up Ohio Crime Data for Machine Learning
In a previous post, I discuss cleaning public Ohio crime data. As I start to get deeper into the data, and go through years...
Feature Engineering: LabelEncoder sklearn example
A big part of machine learning is data cleanup and feature engineering. A good tool in your data science toolkit will be label encoding....
How I wrote a terrible machine learning Nirvana song
We all see articles on how this is successful or that is successful and we get to brag about our successes. But what about...
How to run iPython notebook online for Machine Learning projects
Recently Google had a Kaggle image contest with test and train image dataset files that were well over a TB in size. My Macbook...
Machine Learning: How to pull Google Sheets data into Colabs
If you are using Google Colabs it would make sense to want to pull in a CSV file for a machine learning project. It...
