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...
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 fail and still succeed – a little data science fun
This past week has been brutal on my sinuses. And being that I'm the type who has to find some science in nearly everything....
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: 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...
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...
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...
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...
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...
