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 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...
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...
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...
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...
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 to fillna in pandas in Python
We are going to show you how to fillna using pandas in Python. No dataset is going to come perfect and ready to go....
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....
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....