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Multiple Linear Regressing using Python
This course focuses on writing a Python code for building and evaluating a robust Multiple linear regression model on a real-world dataset, through a guided approach for building appropriate solutions.
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2 Videos
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1 Coding Case
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2 Readings
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1 Quiz
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Difficulty: Intermediate
Foundational knowledge or experience in statistics or analytics is recommended.
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Duration: Approximately 4 hours
Course Overview
- Multiple Linear Regression is an extension of Simple Linear regression as it takes more than one predictor variable to predict the response variable.
- The goal of multiple linear regression (MLR) is to determine a mathematical relationship between the independent variables that may be both quantitative and qualitative and quantitative dependent variable.
- Learn regression analysis and how to build a multiple linear regression model in Python using statsmodels and sklearn library.
- Gain practical experience by applying the understanding and coding skills on real-world business scenarios.
What’s included
Flexible Scheduling
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Desktop Only
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Skills You Will Learn
Associated Learning Tracks
How it Works
Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.
With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.
Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.
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Rolai’s patented process provides a personalized learning process for each user. Rolai goes deeper than simply learning concepts and testing your skills. At Rolai, learners can apply their skills to actual industry use cases and projects.
Our courses include readings, videos, quizzes, and hands-on data cases that are completed using our virtual lab; give learners an applied learning experience.
No additional tools are needed to begin learning with Rolai. Our virtual lab contains the necessary data workspace and an embedded coding console.
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