Watch Scikit-Learn Course - Machine Learning in Python Tutorial Video Tutorial


Tutorial Details & Info

Tutorial Title: Scikit-Learn Course - Machine Learning in Python Tutorial
Instructor / Channel: freeCodeCamp.org
Lesson Runtime: 54:25 Minutes
Publish Date: June 23, 2020
Total Students / Views: 534,978 views

Explore this free video tutorial for Scikit-Learn Course - Machine Learning in Python Tutorial created by freeCodeCamp.org. This full video course has a total duration of 54:25 minutes with detailed practical demonstrations. Watch this video tutorial for free on any desktop PC, Mac, tablet, or smartphone.

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Course Description & Lesson Notes

Official Video Description:

Scikit-learn is a free software machine learning library for the Python programming language. Learn about machine learning using scikit-learn in this full course. 💻 Code: https://github.com/DL-Academy/MachineLearningSKLearn 🔗 Scikit-learn website: https://scikit-learn.org ✏️ Course from DL Academy. Check out their YouTube channel: https://www.youtube.com/channel/UCTgBlZ1fmNa87NUY1xvoxpg 🔗 View more courses here: https://thedlacademy.com/ ❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba)0 ⭐️ Course Contents ⭐️ Chapter 1 - Getting Started with Machine Learning ⌨️ (0:00) Introduction ⌨️ (0:22) Installing SKlearn ⌨️ (3:37) Plot a Graph ⌨️ (7:33) Features and Labels_1 ⌨️ (11:45) Save and Open a Model Chapter 2 - Taking a look at some machine learning algorithms ⌨️ (13:47) Classification ⌨️ (17:28) Train Test Split ⌨️ (25:31) What is KNN ⌨️ (33:48) KNN Example ⌨️ (43:54) SVM Explained ⌨️ (51:11) SVM Example ⌨️ (57:46) Linear regression ⌨️ (1:07:49) Logistic vs linear regression ⌨️ (1:23:12) Kmeans and the math beind it ⌨️ (1:31:08) KMeans Example Chapter 3 - Artificial Intelligence and the science behind It ⌨️ (1:42:02) Neural Network ⌨️ (1:56:03) Overfitting and Underfitting ⌨️ (2:03:05) Backpropagation ⌨️ (2:18:16) Cost Function and Gradient Descent ⌨️ (2:26:24) CNN ⌨️ (2:31:46) Handwritten Digits Recognizer -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

🌐 Web & Search Guide Notes (DuckDuckGo, Yahoo & Bing):

Explore how to apply Scikit-Learn Course - Machine Learning In Python Tutorial with this comprehensive video tutorial guide. Throughout this course, you will learn essential skills for Scikit-Learn Course - Machine Learning In Python Tutorial.

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Scikit-Learn Course - Machine Learning in Python Tutorial taught by freeCodeCamp.org. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Scikit-Learn Course - Machine Learning in Python Tutorial.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by freeCodeCamp.org with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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