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 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....
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....
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...
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...
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...
How to make the first row in your spreadsheet or dataframe the header in...
If you have imported a CSV file into your notebook and use Pandas to view the dataframe you might find that the header of...
Data Wrangling: Cleaning up Ohio Crime Data for Machine Learning
Often it seems like the biggest part of machine learning is actually acquiring and cleaning up data. The state of Ohio provides crime data...
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 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,...
