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...
How to import data into Python to run Machine Learning projects
One of the most important aspects of running any machine learning program is the ability to pull in data from various sources and of...
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....
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...
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...
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...
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...
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 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...
How to add a column to pandas dataframe
Pandas allow for many methods for adding and dropping content. We have covered how to drop a column and how to drop a row...
