logo
Login

Python and Machine Learning | Stanford Crowd Course Initiative

Stanford University

Comprehensive Python programming and machine learning course from Stanford Crowd Course Initiative. Gain practical experience in building and deploying ML models.

University CoursesMachine LearningPython

Introduction

This course covers the fundamentals of Python programming and machine learning, providing a comprehensive introduction to these powerful tools. Learners will gain practical experience in building and deploying machine learning models using Python.

screenshot

Highlights

  • Comprehensive coverage of Python programming language
  • In-depth exploration of machine learning concepts and techniques
  • Hands-on projects and case studies to reinforce learning
  • Taught by experienced instructors from the Stanford Crowd Course Initiative

Recommendation

This course is highly recommended for anyone interested in developing proficiency in Python and machine learning. It is suitable for beginners as well as those with some prior programming experience who want to expand their skillset. The course provides a solid foundation for further exploration in data science, artificial intelligence, and various other fields.

YouTube Videos

How GetVM Works

Learn by Doing from Your Browser Sidebar

Access from Browser Sidebar

Access from Browser Sidebar

Simply install the browser extension and click to launch GetVM directly from your sidebar.

Select Your Playground

Select Your Playground

Choose your OS, IDE, or app from our playground library and launch it instantly.

Learn and Practice Side-by-Side

Learn and Practice Side-by-Side

Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.

Explore Similar Hands-on Tutorials

Automate the boring stuff with Python

17
Technical TutorialsAutomationPython
Learn how to use Python to automate tedious tasks like file renaming, spreadsheet updating, web scraping, and more. No prior programming experience required.

Learn Python Basics | Beginner-Friendly Programming Course

20
Technical TutorialsProgrammingPython
Dive into the world of programming with Python, a beginner-friendly language. Explore its readability, versatility, and robust community support.

Python Tutorial For Beginners | Programming, Coding

1
Video CoursesProgrammingPython
Learn Python fundamentals, installation, and setup for beginners. Explore the interactive prompt, create and run your first Python script. Ideal for new programmers.

Getting Started with Artificial Intelligence , 2nd Edition

25
Technical TutorialsData ScienceMachine Learning
Comprehensive introduction to AI, covering machine learning and data science. Practical guide to building enterprise applications with real-world examples.

Machine Learning For Dummies, IBM Limited Edition

19
Technical TutorialsData ScienceMachine Learning
Comprehensive guide to machine learning and data science, suitable for beginners and experienced professionals. Authored by experts Daniel Kirsch and Judith Hurwitz.

A Programmers Guide to Data Mining

14
Technical TutorialsData SciencePython
Comprehensive guide to data mining techniques, including recommendation systems, classification, and clustering. Beginner-friendly introduction for programmers with hands-on exercises and Python code.

Data Mining Concepts and Techniques

25
Technical TutorialsData ScienceMachine Learning
Comprehensive coverage of data mining concepts and techniques, including data preprocessing, classification, clustering, and association rule mining. Essential resource for students, researchers, and professionals in data mining, machine learning, and data analysis.

A Brief Introduction to Machine Learning for Engineers

29
Technical TutorialsMachine Learning
Gain a solid understanding of machine learning concepts and techniques for engineers. Covers supervised, unsupervised, probabilistic models, and advanced topics.

A Comprehensive Guide to Machine Learning

24
Technical TutorialsData ScienceMachine Learning
Detailed resource on machine learning, data science, and artificial intelligence. Authored by experienced experts, suitable for beginners and experienced learners.