Machine Learning NFL: My rule changes for punts
The NFL has created a competition in an attempt to reduce concussions on punt plays. Read more about the competition in my previous post....
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 convert Google Colabs from Python 2 to Python 3
I don't know why Google Colabs defaults to Python 2, regardless, it's extremely easy to change your notebook to Python 3. It's so easy...
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...
How to run notebook in Google Cloud for Machine Learning
Step one: Go to Google Cloud Platform and create a Project.
Step two: Click Activate Cloud Shell
Step three: In the console you will want to...
Data Wrangling: Cleaning up Ohio Crime Data for Machine Learning
Often it seems like the biggest part of machine learning is actually acquiring and cleaning up data. The state of Ohio provides crime data...
How to select the best model from multiple machine learning algorithms
There are many ways to figure out which machine learning algorithm is the best for your dataset. One, you can just pick one and...
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...
Machine Learning: Creating vectors, matrix and arrays
To get started in machine learning there are some basics that you need to know and understand before you can ever just start coding...
