Watch Machine Learning Full Course with Scikit‑Learn | Math + Python + AI | Sagar Chouksey Video Tutorial


Tutorial Details & Info

Tutorial Title: Machine Learning Full Course with Scikit‑Learn | Math + Python + AI | Sagar Chouksey
Instructor / Channel: Coding With Sagar
Lesson Runtime: 14:09 Minutes
Publish Date: August 04, 2025
Total Students / Views: 744,611 views

Explore this free video tutorial for Machine Learning Full Course with Scikit‑Learn | Math + Python + AI | Sagar Chouksey created by Coding With Sagar. The total lesson runtime is 14:09 minutes with detailed practical demonstrations. Watch this video tutorial for free without any subscription or sign-up required.

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Course Description & Lesson Notes

Official Video Description:

Machine Learning Course - https://machine-learning.codingwise.in/ Masters In Data-Analytics with GenAI Job Guarantee Program (Super 30 Batch) - https://codingwise.in/program/data-analytics AI Powered Data Analytics Course - https://data-analytics-course.codingwise.in/ Python for Data Science - https://pythonfords.codingwise.in/ Ready to use 700+ Projects : https://codingwithsagar.in/sp/developers-kit/ Resources - https://programs.codingwise.in/data-science-resources/ This is your one-stop complete course to learn Machine Learning from scratch - ideal for aspiring Data Scientists, AI Engineers & Python Developers. In this 4-hour complete machine learning tutorial, you'll learn everything required to master Machine Learning, AI fundamentals, and Scikit-Learn, starting from the math foundations all the way to real-world coding. Timestamps: 5:29 – 44:04 → Maths Required for Machine Learning 44:04 – 1:05:41 → Foundation of Machine Learning (AI vs ML vs DL, Concepts) 1:05:41 – 1:14:57 → Core Machine Learning Topics (X/y, Models, Predictions) 1:14:57 – 2:05:11 → Data Preprocessing (Missing Data, Encoding, Scaling, Splitting) 2:05:11 – 2:59:19 → Supervised Machine Learning (Regression, Classification, KNN, Decision Trees) 2:59:19 – 3:34:00 → Model Evaluation & Metrics (Accuracy, Precision, Recall, F1, MAE, MSE, RMSE) 3:34:00 – 4:13:19 → Student Score Prediction Project (Start-to-Finish Walkthrough) Tools Used: Python, Scikit-Learn, Numpy, Pandas, Matplotlib Skills You’ll Gain: ML pipeline mastery (preprocessing to deployment) Understanding AI/ML/DL differences Math foundations for ML success Confidence to tackle real-world ML challenges Other Data-Science Lectures: Complete Python (Beginner to Advanced) : https://youtu.be/gPvYox9JIYI?si=AY3sbM93Q2tIDOAZ Matplotlib for Data Visualisation - https://youtu.be/kM_eVEEWfnE Database Using SQL for Data Science - https://youtu.be/5EZ-qcqAHug?si=42C2FYfca8qxW0he Pandas Library for Data Science : https://youtu.be/qrMnoY8qBJM?si=Ny6PCF3phn32DZKj Numpy Library for Data Science : https://youtu.be/9DhZ-JCWvDw?si=_QceEoUP-_efHaW2 Flask Framework for Data Science - https://youtu.be/QZfaRHzWM0k Python Project for Beginners - https://youtu.be/DWjEqKLDUXQ PowerBI Tutorial - https://youtu.be/2rOjSOoZB08?si=xIveHiMQxSlwqs6R Advanced Excel - https://youtu.be/fmiF9PdEnGY?si=MYUrSrCtAySdHKMw OpenCV Computer Vision - https://youtu.be/yQu_3e7MAr0?si=7lQ4uDBbsjSgPgIP Connect with us: LinkedIn - https://in.linkedin.com/in/sagarchouksey4840 Instagram - https://www.instagram.com/codingwithsagar Telegram - https://telegram.me/sagar4840 Youtube - https://www.youtube.com/@codingwithsagarcw/ Website - https://codingwise.in/ #MachineLearning #PythonForML #ScikitLearn #AI #MathForML #DataScienceCourse #MLProjects #CompleteMLCourse

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Machine Learning Full Course with Scikit‑Learn | Math + Python + AI | Sagar Chouksey taught by Coding With Sagar. 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 Machine Learning Full Course with Scikit‑Learn | Math + Python + AI | Sagar Chouksey.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Coding With Sagar 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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