Python: Master House Price Prediction with Linear Regression
$49
ENROLL NOWCourse Overview
What You'll Learn
- By the end of this course, learners will be able to prepare housing datasets, apply preprocessing and transformation techniques, engineer meaningful features, perform exploratory data analysis, and build predictive models using linear regression in Python.
- You will also learn to evaluate multicollinearity with Variance Inflation Factor (VIF) and validate prediction accuracy with best practices in model evaluation.
- This course is designed to take you step by step through the entire workflow of predictive modeling, starting with project setup and dataset understanding, followed by advanced techniques in data cleaning, correlation analysis, and regression modeling.
By the end of this course, learners will be able to prepare housing datasets, apply preprocessing and transformation techniques, engineer meaningful features, perform exploratory data analysis, and build predictive models using linear regression in Python. You will also learn to evaluate multicollinearity with Variance Inflation Factor (VIF) and validate prediction accuracy with best practices in model evaluation. This course is designed to take you step by step through the entire workflow of predictive modeling, starting with project setup and dataset understanding, followed by advanced techniques in data cleaning, correlation analysis, and regression modeling. Through hands-on practice with the Ames Housing dataset, you will gain practical skills in transforming raw data into actionable insights. What makes this course unique is its end-to-end, project-based structure that mirrors real-world machine learning workflows. Instead of abstract theory, you will learn by applying concepts directly to a practical case study—predicting house prices with real housing data. Whether you are a beginner in data science or looking to strengthen your machine learning portfolio, this course will equip you with the skills to confidently implement regression-based predictive analytics.
Course FAQs
Is this an accredited online course?
Accreditation for 'Python: Master House Price Prediction with Linear Regression' is determined by the provider, EDUCBA. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Python: Master House Price Prediction with Linear Regression' on the EDUCBA online class platform, where you can complete your registration.
