Master Linear Regression in Python with Sklearn: A Step-by-Step Machine Learning Tutorial π
Learn how to implement Linear Regression in Python using Sklearn with this comprehensive, hands-on tutorial. Perfect for beginners and data enthusiasts looking to boost their machine learning skills!

Jovian
120.9K views β’ Jun 19, 2021

About this video
π» For real-time updates on events, connections & resources, join our community on WhatsApp: https://jovian.com/whatsapp
In this hands-on python tutorial, we will learn the fundamentals of machine learning and linear regression in the context of a problem, and generalize their definitions.
You can experiment with the notebook used in the above video here π https://jovian.ai/aakashns/python-sklearn-linear-regression
π Check out this playlist for the complete lecture series on Gradient Boosting Machines: https://youtube.com/playlist?list=PLyMom0n-MBrq-KvGy4TSEa3PQnZ03OoM6
π― Topics Covered
β’ Preparing data for machine learning
β’ Linear regression with multiple features
β’ Generating predictions and evaluating models
β Ask questions on the Jovian Forum: https://jovian.ai/forum/t/lesson-1-linear-regression-with-
scikit-learn/17900
β Time Stamps:
00:00 Course Overview
07:15 Introduction
09:31 Problem Statement
21:25 Downloading and exploring a dataset for machine learning
58:10 Linear regression using a single feature
1:27:31 Linear regression using scikit-learn
1:46:09 Linear Regression with multiple variables
1:55:31 Using categorical features machine learning
2:11:27 Model Improvements
2:29:10 Summary and Conclusion
β‘ Free Certification Course
"Machine Learning with Python: Zero to GBMs(Gradient Boosting Machine)" is a practical and beginner-friendly introduction to supervised machine learning, decision trees, and gradient boosting using Python. You will solve 3 coding assignments & build a course project where you'll train ML models using a large real-world dataset. Enroll now: https://zerotogbms.com
π Visit the linear regression lecture page here: https://jovian.ai/learn/machine-learning-with-python-zero-to-gbms/lesson/linear-regression-with-scikit-learn
π€ About the speaker
Aakash N S is the co-founder and CEO of Jovian - a community learning platform for data science & ML. Previously, Aakash has worked as a software engineer (APIs & Data Platforms) at Twitter in Ireland & San Francisco and graduated from the Indian Institute of Technology, Bombay. Heβs also an avid blogger, open-source contributor, and online educator.
#GBM #sklearntutorial #LinearRegression #Certification #Course #Jovian
-
Learn Data Science the right way at https://www.jovian.ai
Interact with a global community of like-minded learners https://jovian.ai/forum/
Get the latest news and updates on Machine Learning at https://twitter.com/jovianml
Connect with us professionally on https://linkedin.com/company/jovianml
Follow us on Instagram at https://www.instagram.com/jovian.ml/
Subscribe for new videos on Artificial Intelligence https://youtube.com/jovianml
In this hands-on python tutorial, we will learn the fundamentals of machine learning and linear regression in the context of a problem, and generalize their definitions.
You can experiment with the notebook used in the above video here π https://jovian.ai/aakashns/python-sklearn-linear-regression
π Check out this playlist for the complete lecture series on Gradient Boosting Machines: https://youtube.com/playlist?list=PLyMom0n-MBrq-KvGy4TSEa3PQnZ03OoM6
π― Topics Covered
β’ Preparing data for machine learning
β’ Linear regression with multiple features
β’ Generating predictions and evaluating models
β Ask questions on the Jovian Forum: https://jovian.ai/forum/t/lesson-1-linear-regression-with-
scikit-learn/17900
β Time Stamps:
00:00 Course Overview
07:15 Introduction
09:31 Problem Statement
21:25 Downloading and exploring a dataset for machine learning
58:10 Linear regression using a single feature
1:27:31 Linear regression using scikit-learn
1:46:09 Linear Regression with multiple variables
1:55:31 Using categorical features machine learning
2:11:27 Model Improvements
2:29:10 Summary and Conclusion
β‘ Free Certification Course
"Machine Learning with Python: Zero to GBMs(Gradient Boosting Machine)" is a practical and beginner-friendly introduction to supervised machine learning, decision trees, and gradient boosting using Python. You will solve 3 coding assignments & build a course project where you'll train ML models using a large real-world dataset. Enroll now: https://zerotogbms.com
π Visit the linear regression lecture page here: https://jovian.ai/learn/machine-learning-with-python-zero-to-gbms/lesson/linear-regression-with-scikit-learn
π€ About the speaker
Aakash N S is the co-founder and CEO of Jovian - a community learning platform for data science & ML. Previously, Aakash has worked as a software engineer (APIs & Data Platforms) at Twitter in Ireland & San Francisco and graduated from the Indian Institute of Technology, Bombay. Heβs also an avid blogger, open-source contributor, and online educator.
#GBM #sklearntutorial #LinearRegression #Certification #Course #Jovian
-
Learn Data Science the right way at https://www.jovian.ai
Interact with a global community of like-minded learners https://jovian.ai/forum/
Get the latest news and updates on Machine Learning at https://twitter.com/jovianml
Connect with us professionally on https://linkedin.com/company/jovianml
Follow us on Instagram at https://www.instagram.com/jovian.ml/
Subscribe for new videos on Artificial Intelligence https://youtube.com/jovianml
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Video Information
Views
120.9K
Likes
1.9K
Duration
02:29:45
Published
Jun 19, 2021
User Reviews
4.7
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