Linear Regression & Supervised Learning in Python
Completed by M Deepa
March 1, 2026
5 hours (approximately)
M Deepa's account is verified. Coursera certifies their successful completion of Linear Regression & Supervised Learning in Python
What you will learn
Analyze data distributions, variable relationships, and outliers using exploratory data analysis and graphical techniques.
Construct a simple linear regression model in Python and use it to generate predictions.
Evaluate model accuracy using performance metrics and prediction comparisons, and interpret the results.
Evaluate regression model predictions using standard performance metrics and compare results with actual outcomes.
Skills you will gain
- Category: Exploratory Data Analysis
- Category: Machine Learning Methods
- Category: Predictive Analytics
- Category: Analysis
- Category: Statistical Analysis
- Category: Data Analysis
- Category: Correlation Analysis
- Category: Applied Machine Learning
- Category: Predictive Modeling
- Category: Regression Analysis
- Category: Verification And Validation
- Category: Statistical Modeling
