Get started with machine learning using Python with a hands-on, in-person course with expert instructor Ted Petrou.
Get a comprehensive introduction to machine learning using Python with engaging live coding, practical exercises, and an expert instructor. Learn to build a massive, robust, machine learning pipeline with Python that engineers features, transforms different groupings of columns and is cross-validated to find optimal hyperparameters.
Ted Petrou teaches all classes and has over 1,000 hours of live, in-person instruction experience. He is the author of numerous books including Master Machine Learning with Python and is the creator of multiple Python libraries. Ted constantly improves and upgrades the material to ensure it is of the highest quality.
Watching others code gives the false impression of learning. In reality, learning is demonstrated when you complete tasks yourself. During class, you will be given ample time to complete exercises and projects. Ted is very dedicated during this time to ensure students get the help they need.
Mastering the fundamentals of machine learning is not possible in such a short course. However, upon completion, you will be given a direct path towards continuing your education. Completing this path will earn you a certificate of completion.
This course is taught by Ted Petrou, an expert at Python, data exploration and machine learning. Ted is the author of the multiple highly rated texts including:
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 a simple and direct path 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. He is an enthusiastic instructor and dedicates his time to helping students at their desk during exercises to ensure understanding.
Ted demonstrates his deep fluency in Python by developing open source Python libraries and is the creator of dexplo, a suite of data science packages that include bar_chart_race, dexplot, jupyter_to_medium, and dataframe_image.
Ted holds a Master's degree in Statistics from Rice University.
Class time is divided between live coding sessions delivered by Ted and hands-on practice exercises and projects that you complete. During the live coding, you are provided an outline of the topics that Ted will cover as a Jupyter Notebook allowing you to code right along with him, explore how the commands work, and ask questions.
During student exercises, you will be writing Python code to solve machine learning problems. Ted is always available to provide help directly at your seat and is constantly seeking out students who may be in need of extra support.
The Intro to Machine Learning Bootcamp targets those who have little to no machine learning experience, but do understand the fundamentals of programming in Python. If you do not feel comfortable with the basics of Python, then this course is not for you. Consider taking Master the Fundamentals of Python first, which you will get immediate access to for free registering for this bootcamp.
Everyone who registers gets the All Access Pass which grants you lifetime access to all current and future books and non-live online courses. Currently, this includes the following courses containing thousands of pages of material, hundreds of exercises, and many hours of video content.
Part of the intrigue of an in-person class is the social interaction and camaraderie formed between yourself and the other students. This fellowship is mainly absent when taking an online class or watching a recorded video. Many friendships and potential career opportunities are formed between the students that attend Ted's classes.
And if you are looking for proof, just take a look at the immense joy radiating from the faces of the students in the picture to the left.
Hear Sayantan's experience taking the bootcamp and then transitioning to a teaching assistant.