Course Provider
What will you learn in this course?
Upskill in the most widely used algorithms in machine learning and learn the various stages of predictive modelling. Through this course, you will learn how to:
- Evaluate a Linear Model
- Select and Transform a Variable, as well as,
- Model Validation
Get an understanding of ‘Simple and Multiple Linear Regression.’ Deep dive into various nuances of building a robust predictive analytical solution with 6 hands-on data cases.
Machine Learning - Linear Regression
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Skill Type
Emerging Tech
- Domain
Artificial Intelligence
- Course Category
Deepskilling Course
- Certificate Earned Joint Co-Branded Participation Certificate
- Nasscom Assessment Available
- Course Covered under GoI Incentive
Yes
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- Course Price
Free
- Course Duration
23 Hours
- Course Price
Why should you take this course?
Through an experiential learning approach, the course will take you through the fundamental concepts of Linear Regression and Machine Learning. You will upskill with an industry-aligned course while earning SSC NASSCOM Certification for AI and BDA competencies of:
- Pre-process data (N8102)
- Exploratory Data Analysis (N8103)
- Perform Research & Design of Algorithmic models (N8104)
Curriculum
The course, spanning over 23 hours, provides 6 hands-on data cases with a guided approach for building appropriate solutions. It is further divided into 2 modules:-
Module 1: Simple Linear Regression
Fundamentals of simple Linear Regression (OLS) - Exploratory Data Analysis, Model Iteration, R-square.
Module 2: Multiple Linear Regression
Multiple Linear Regression - Variable Transformations, Variable Selection, Overfitting, Evaluating the accuracy of the model.
Learners will be assessed based on their overall performance in all data cases and quizzes, after the completion of the content collateral. Your score will be calculated by our algorithm-driven assessment engine to decide on the certificate eligibility.
Tools you will learn in the course
Analyttica TreasureHunt® LEAPS Virtual Lab