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 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...
Set up the best parameters for Deep Learning RNN with Grid Search
Most of the time I've spent on Kaggle contests have been hyperparameter optimization. It's a major part of deep learning and fine tuning if...
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....
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...
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...
Machine Learning Algorithms for beginners
Below are some basics on machine learning algorithms. This is for beginners who are trying to get a better understanding about machine learning and...
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....
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...
