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,...
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...
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...
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 drop rows in a pandas dataframe
A previous tutorial showed you how to drop columns in a pandas dataframe. Now we will look at how to drop rows in a...
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....
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...
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 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...
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...
