Master Machine Learning with Python provides a comprehensive guide to become an expert at both the concepts and tools of building a machine learning workflow using Python.
This course is broken into the following 6 parts
- Introduction to Machine Learning
- Linear Regression
- More Supervised Learning Models
- Model Evaluation
- Model Selection
- Data Transformations
For a more detailed description of each topic, visit the main Master Machine Learning with Python page.
Become an Expert
Many other courses use poor practices to teach the scikit-learn machine learning library. With Master Machine Learning with Python, you will be given the absolute best and newest practices to massively increase your efficiency. This text will rapidly help you become an expert.
All Access Pass!
Instead of purchasing each product separately, get lifetime access to all current and future products with the All Access Pass! for one low price.
About the Author
This course is taught by Ted Petrou, an expert at Python, data exploration and machine learning. Ted is the author of the highly rated text Pandas Cookbook. Ted has taught hundreds of students Python and data science during in-person classroom settings. He sees first hand exactly where students struggle and continually upgrades his material to minimize these struggles by providing simple and direct paths forward.
Ted is one of the foremost authorities on using the pandas library to do data analysis. His blog posts have totaled well over 1 million views. He is also a prolific contributor on Stack Overflow having answered over 400 questions.
Ted holds a master's degree in statistics from Rice University and is the author of Exercise Python and Master Machine Learning with Python.
What your purchase includes
You are purchasing a digital download including the following:
- 25+ Jupyter Notebook where you can read the text, complete exercises, and add notes.
- 200+ page PDF of the text allowing you to search for specific content or read when not online.
Master Machine Learning with Python assumes you already have a solid understanding of the fundamentals of Python. If you do not, you should master these fundamentals first. Exercise Python provides the necessary prerequisite knowledge.