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...
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 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...
What is the Python sorted function? An example of how to use it.
The Python sort function is very straight-forward. The easiest way to think about this is the various ways you can sort files on your...
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....
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...
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 run notebook in Google Cloud for Machine Learning
Step one: Go to Google Cloud Platform and create a Project.
Step two: Click Activate Cloud Shell
Step three: In the console you will want to...
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...
