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Machine Learning Fundamentals with Python

 

This 1-hour masterclass will introduce you to machine learning fundamentals using the Python programming language. 80% of the time spent on data science, AI, and machine learning projects are in preparing data for machine learning and evaluating and interpreting the outputs from machine learning models.
Finally, we will outline a python roadmap that anyone take embark upon on a journey to python and machine learning mastery.
Learning Outcomes
  • Understand Jupyter Notebook and Python Basics
  • Look at datatypes and variables
  • Best practice for data preparation, cleaning and sampling
  • How to train Data, test data and evaluation data
  • Live Demo – Regression - Does Money Make People Happy?
  • Understand Common metrics used to evaluate results
  • A Python and ML roadmap
Target Audience
Anyone who wants to understand best practice to prepare data for machine learning, evaluation and interpretation.
Pat  McKillen

Pat McKillen

Software Engineering and Data Science, ML & AI Trainer and consultant, Neueda Training

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