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This project forked from mlittmancs/great_courses_ml
code and data for ML-teachco-9070
************************************************************************ ************************************************************************ This README describes the code and data provided to accompany "Introduction to Machine Learning" (ML-teachco-9070), taught by Michael Littman for The Great Courses. For more information getting started, please see the accompanying file: - Introduction to Machine Learning L02.pdf: This pdf is the section from the course guidebook that details how to get started with Python notebooks and Colab. For access to the rest of the guidebook, sign up for the course itself at TheGreatCourses.com! The program files provided here consist of three types: - FOLLOW ALONG during or after lessons using the program files with simple names like L01.ipynb, L02.ipynb, and so on. They are in the .ipynb format discussed in Lesson 02 and are included for each of the specific lessons, from 02 to 25. - AUXILIARY ("aux") files are provided for background information for those curious to explore other elements that appear on screen during lessons. Files with names like L01aux.ipynb, L03aux.ipynb, and so on are used by the instructor in the lesson, but that are not discussed explicitly. Not every lesson has one of these "auxillary" files. Note: Even users making diligent use of the FOLLOW ALONG and QUESTIONS program files can skip the AUXILIARY files. - QUESTIONS ("qs") FOR MORE PRACTICE are program files with names like L01qs.ipynb, L02qs.ipynb, and so on. They are associated with the practice problems for each lesson (which appear in the guidebook for each lesson as question number 3). Direct links to all program files are provided through the course guidebook and through The Great Courses website. You can also access them directly using a link like: https://colab.research.google.com/github/mlittmancs/great_courses_ml/blob/master/L02.ipynb . This particular link is the program associated with the "Starting with Python Notebooks and Colab" lesson, Lesson 02. To access any other file, simply take out the L02 in the above link and put in L16qs, or whatever the name of the file is that you want to work with next. ************************************************************************ This file repository also includes three other sets of files necessary to run the program files: - imgs: A directory of images used by the program files. - data: A directory of local datasets used by the program files. - requirements.txt: A file required by colab that lists library dependencies. - README: This file. ************************************************************************ Frequently asked questions: Errata, clarifications, and other tips we discover will be listed below.
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