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…
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…
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….
How to make the first row in your spreadsheet or dataframe the header in Pandas
If you have imported a CSV file into your notebook and use Pandas to view the dataframe you might find…
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…
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…
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,…
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…
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…
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…