Complete Machine Learning Course with Scikit-Learn: Python, Math & AI π
Master Machine Learning from scratch using Python and Scikit-Learn. Perfect for aspiring data scientists and AI enthusiasts. Enroll now to boost your skills! π―

Coding With Sagar
339.8K views β’ Aug 4, 2025

About this video
Masters In Data-Analytics with GenAI (Super 30 Batch) - https://codingwise.in/program/data-analytics
Python for Data Science - https://programs.codingwise.in/python-for-data-science-analysis/
Get 700+ Ready-made Projects Codeπ
https://codingwithsagar.in/developerschoicebundle/
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 β 44:04 β Maths Required for Machine Learning
44:04 β 1:05:41 β Foundation of Machine Learning (AI vs ML vs DL, Concepts)
1:05:41 β 1:14:57 β Core Machine Learning Topics (X/y, Models, Predictions)
1:14:57 β 2:05:11 β Data Preprocessing (Missing Data, Encoding, Scaling, Splitting)
2:05:11 β 2:59:19 β Supervised Machine Learning (Regression, Classification, KNN, Decision Trees)
2:59:19 β 3:34:00 β Model Evaluation & Metrics (Accuracy, Precision, Recall, F1, MAE, MSE, RMSE)
3:34:00 β 4:13:19 β Student Score Prediction Project (Start-to-Finish Walkthrough)
Tools Used:
Python, Scikit-Learn, Numpy, Pandas, Matplotlib
Skills Youβll 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
Python for Data Science - https://programs.codingwise.in/python-for-data-science-analysis/
Get 700+ Ready-made Projects Codeπ
https://codingwithsagar.in/developerschoicebundle/
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 β 44:04 β Maths Required for Machine Learning
44:04 β 1:05:41 β Foundation of Machine Learning (AI vs ML vs DL, Concepts)
1:05:41 β 1:14:57 β Core Machine Learning Topics (X/y, Models, Predictions)
1:14:57 β 2:05:11 β Data Preprocessing (Missing Data, Encoding, Scaling, Splitting)
2:05:11 β 2:59:19 β Supervised Machine Learning (Regression, Classification, KNN, Decision Trees)
2:59:19 β 3:34:00 β Model Evaluation & Metrics (Accuracy, Precision, Recall, F1, MAE, MSE, RMSE)
3:34:00 β 4:13:19 β Student Score Prediction Project (Start-to-Finish Walkthrough)
Tools Used:
Python, Scikit-Learn, Numpy, Pandas, Matplotlib
Skills Youβll 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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Video Information
Views
339.8K
Likes
14.1K
Duration
04:14:09
Published
Aug 4, 2025
User Reviews
4.8
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