2025 Python for Linear Regression in Machine Learning

Linear and Non-Linear Regression, Lasso Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection | Outliers Removal

Created by: Laxmi Kant | KGP Talkie
AVP, Data Science Join Ventures | IIT Kharagpur | KGPTalkie

What Will I Learn?

• Analyse and visualize data using Linear Regression
• Plot the graph of results of Linear Regression to visually analyze the results
• Learn how to interpret and explain machine learning models
• Do in-depth analysis of various forms of Linear and Non-Linear Regression
• Use YellowBrick, SHAP, and LIME to interact with predictions of machine learning models
• Do feature selection and transformations to fine tune machine learning models
• Course contains result oriented algorithms and data explorations techniques

Requirements

• Basic Python Programming
• Desire to Learn!

Target audience

• Beginners python programmers.
• Beginners Data Science programmers.
• Students of Data Science and Machine Learning.
• Anyone interested in learning Linear Regression and Feature Selection
• Anyone interested about the rapidly expanding world of data science!
• Developers who want to work in analytics and visualization project.
• Anyone who wants to explore and understand data before applying machine learning.