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...
Genetic Programming is an awesome way to tackle machine learning problems
I don't know how I missed out on genetic programming. I'm still trying to pick my jaw up off the ground. It reminds me...
What is an epoch in machine learning?
An epoch is one pass through an entire dataset. This can be in random order. You an also batch your epoch so that you...
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...
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, and go through years...
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...
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...
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,...
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...
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...
