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....
What is probability mass function?
Probability mass function is recognized as a probability that is distributed over discrete variables.
First, probability mass function is always denoted with the capital P.
Second,...
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 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....
What is Conditional Probability and formula?
Conditional probability is used to find out the probability of some event happening given that some other event has happened. Easy right?
Therefore, conditional probability...
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 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...
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...
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...
