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Machine Learning Full Course with Scikit‑Learn | Math + Python + AI | Sagar Chouksey
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Machine Learning Full Course with Scikit‑Learn | Math + Python + AI | Sagar Chouksey - Machine Learning Full Course with Scikit‑Learn | Math + Python + AI | Sagar Chouksey

Master Machine Learning: Dive Deep with Scikit-Learn, Math, and Python to Unlock AI Potential!

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9 learners

What you'll learn

Understand the basics of machine learning concepts and algorithms
Learn how to implement machine learning models using Scikit?Learn
Gain proficiency in using Python for machine learning applications
Develop skills to integrate mathematical concepts in machine learning solutions

This course includes

  • 4 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

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Full Transcript

Masters In Data-Analytics with GenAI (Super 30 Batch) - https://codingwise.in/program/data-analytics AI Powered Data Analytics Job Guarantee Course - https://data-analytics-course.codingwise.in/ Python for Data Science - https://programs.codingwise.in/python-for-data-science-analysis/ 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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