Watch Machine Learning in Python: Building a Classification Model Video Tutorial


Tutorial Details & Info

Tutorial Title: Machine Learning in Python: Building a Classification Model
Instructor / Channel: Data Professor
Lesson Runtime: 19:58 Minutes
Publish Date: March 11, 2020
Total Students / Views: 149,353 views

Follow step-by-step with Machine Learning in Python: Building a Classification Model instructor Data Professor. The total lesson runtime is 19:58 minutes with detailed practical demonstrations. Follow along to build your skills today on TutorTube.

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Course Description & Lesson Notes

Official Video Description:

In this video, I will show you how to build a simple machine learning model in Python. Particularly, we will be using the scikit-learn package in Python to build a simple classification model (for classifying Iris flowers) using the random forest algorithm. 🌟 Buy me a coffee: https://www.buymeacoffee.com/dataprofessor πŸ“ŽCODE: https://github.com/dataprofessor/code/tree/master/python/iris β­• Playlist: Check out our other videos in the following playlists. βœ… Data Science 101: https://bit.ly/dataprofessor-ds101 βœ… Data Science YouTuber Podcast: https://bit.ly/datascience-youtuber-podcast βœ… Data Science Virtual Internship: https://bit.ly/dataprofessor-internship βœ… Bioinformatics: http://bit.ly/dataprofessor-bioinformatics βœ… Data Science Toolbox: https://bit.ly/dataprofessor-datasciencetoolbox βœ… Streamlit (Web App in Python): https://bit.ly/dataprofessor-streamlit βœ… Shiny (Web App in R): https://bit.ly/dataprofessor-shiny βœ… Google Colab Tips and Tricks: https://bit.ly/dataprofessor-google-colab βœ… Pandas Tips and Tricks: https://bit.ly/dataprofessor-pandas βœ… Python Data Science Project: https://bit.ly/dataprofessor-python-ds βœ… R Data Science Project: https://bit.ly/dataprofessor-r-ds β­• Subscribe: If you're new here, it would mean the world to me if you would consider subscribing to this channel. βœ… Subscribe: https://www.youtube.com/dataprofessor?sub_confirmation=1 β­• Recommended Tools: Kite is a FREE AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite and I love it! βœ… Check out Kite: https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=dataprofessor&utm_content=description-only β­• Recommended Books: βœ… Hands-On Machine Learning with Scikit-Learn : https://amzn.to/3hTKuTt βœ… Data Science from Scratch : https://amzn.to/3fO0JiZ βœ… Python Data Science Handbook : https://amzn.to/37Tvf8n βœ… R for Data Science : https://amzn.to/2YCPcgW βœ… Artificial Intelligence: The Insights You Need from Harvard Business Review: https://amzn.to/33jTdcv βœ… AI Superpowers: China, Silicon Valley, and the New World Order: https://amzn.to/3nghGrd β­• Stock photos, graphics and videos used on this channel: βœ… https://1.envato.market/c/2346717/628379/4662 β­• Follow us: βœ… Medium: http://bit.ly/chanin-medium βœ… FaceBook: http://facebook.com/dataprofessor/ βœ… Website: http://dataprofessor.org/ (Under construction) βœ… Twitter: https://twitter.com/thedataprof/ βœ… Instagram: https://www.instagram.com/data.professor/ βœ… LinkedIn: https://www.linkedin.com/in/chanin-nantasenamat/ βœ… GitHub 1: https://github.com/dataprofessor/ βœ… GitHub 2: https://github.com/chaninlab/ β­• Disclaimer: Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents. #dataprofessor #machinelearning #datascienceproject #iris #classification #randomforest #decisiontree #python #learnpython #pythonprogramming #datascience #datamining #bigdata #datascienceworkshop #dataminingworkshop #dataminingtutorial #datasciencetutorial #ai #artificialintelligence #tutorial #dataanalytics #dataanalysis #machinelearningmodel

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πŸŽ“ Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Machine Learning in Python: Building a Classification Model taught by Data Professor. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

πŸ’‘ Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Machine Learning in Python: Building a Classification Model.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Data Professor 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.

πŸ“‹ 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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