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....
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: 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 I got a Perfect Score on a Kaggle NLP with Disaster Tweets Competition
I love Kaggle. I love the competition and testing my skills against brilliant data scientists from around the world. Today I decided to get...
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...
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 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...
What is probability mass function?
Probability mass function is recognized as a probability that is distributed over discrete variables.
First, probability mass function is always denoted with the capital P.
Second,...
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....
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...
