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
Tags and Topics
Browse our collection to discover more content in these categories.
Video Information
Views
339.8K
Likes
14.1K
Duration
04:14:09
Published
Aug 4, 2025
User Reviews
4.8
(67) Related Trending Topics
LIVE TRENDSRelated trending topics. Click any trend to explore more videos.
No specific trending topics match this video yet.
Explore All Trends