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....
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...
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 I got a Perfect Score on a Kaggle NLP with Disaster Tweets Competition
I love Kaggle. I love the competition and testing my skills against brilliant data scientists from around the world. Today I decided to get...
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 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...
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...
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...
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...
