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...
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...
How to make the first row in your spreadsheet or dataframe the header in...
If you have imported a CSV file into your notebook and use Pandas to view the dataframe you might find that the header of...
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...
How I wrote a terrible machine learning Nirvana song
We all see articles on how this is successful or that is successful and we get to brag about our successes. But what about...
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...
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 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 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...
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...
