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,...
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....
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...
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...
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...
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...
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...
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: 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...
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...
