Machine Learning


We are on your path to a practice in Machine Learning and Artificial Intelligence.
Consider MLP your  resource and information site for news, tools and techniques to maintain your skillset.

Learn Now

The practice of AI and ML require continuous learning to stay current and get results.


There are many free and low-cost online courses that you can take to upgrade your skillset.  Regardless of prior knowledge, you will find curated resources here in our ‘Learn’ section.

On the site, MLP offers free nano-courses on wrangling and visualization. As new training modules are developed, they will be found on this page. 

MLPractitioner Nano-Course: Wrangling

This course consists of the following 6 sections:

  1. Pandas
  2. Pickling
  3. Slicing and Dicing
  4. Merge/Join/Concatenate
  5. Reading
  6. Scraping

Intro to Deep Learning with PyTorch

Facebook AI

Udacity hosts this free course on Deep Learning with PyTorch. 

The developer of PyTorch is Facebook

Intro to Machine Learning

Beginner-Level Machine Learning course on Udacity. As with most courses, free if you don’t need a degree.


MLPractitioner Nano-Course: Visualization

This course consists of the following sections:

  1. Matplotlib 
  2. Seaborn

Python Data Science Course on Udemy

This course takes you through everything you need to launch a career or begin investigating machine learning in Python.

Course is taught by Jose Portilla, one of the most prolific instructors on Udemy with almost 3/4 of a million students, including myself.

Cheat Sheet Collection

Download any of these handy cheat sheets for Python, Pandas, Visualization and Machine-Learning topics. 

Pandas Cheat SheetPandas Cheat SheetOh, the greatness of this cheat sheet for Pandas. Use it wisely.
Python Basics Cheat SheetPython Basics Cheat SheetThe Python Basics Cheat Sheet. Foundational.
Jupyter Notebook Cheat SheetJupyter Notebooks Cheat SheetVery handy indeed. There are some things you didn't know about Jypyter Notebooks.
Importing Data Cheat SheetImporting Data Cheat SheetHelpful examples for importing data into your python project
Matplotlib Cheat SheetMatplotlib Cheat SheetThe basic visualization library for Python
Seaborn Cheat SheetSeaborn Cheat SheetStatistical plotting with Python.
Plotly Cheat Cheat SheetFancy plotting of all kinds with
Scikitlearn Cheat SheetScikitlearn Cheat SheetScikitlearn Machine-Learning Library


“A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician.” 

Josh Wills

Software Engineer, Slack

“A data scientist is someone who can obtain, scrub, explore, model, and interpret data, blending hacking, statistics, and machine learning. Data scientists not only are adept at working with data, but appreciate data itself as a first-class product”

Hillary Mason

G.M. of Machine Learning, Cloudera