Understanding Machine Learning with Python

Colleagues, the “Understanding Machine Learning with Python” will equip you to use your data to predict future events with the help of machine learning. This course will walk you through creating a machine learning prediction solution and will introduce Python, the scikit-learn library, and the Jupyter Notebook environment. Learn to format your problem to be solvable, prepare your data for use in a prediction, and combine that data with algorithms to create models that can predict the future. By the end of this course, you will be able to use Python and the scikit-learn library to create Machine Learning solutions. And you will understand how to evaluate and improve the performance of the solutions you create. Skill-based lessons include: 1) Getting Started in Machine Learning, 2) Understanding the Machine Learning Workflow, 3) Asking the Right Question, 4) Preparing Your Data, 5) Selecting Your Algorithm, 6) Training the Model, and 6) Testing Your Model's Accuracy. 

Enroll today (teams & executives are welcome): https://pluralsight.pxf.io/752WZA

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)