- Pre-process data (N8102)
- Exploratory Data Analysis (N8103)
- Perform Research & Design of Algorithmic models (N8104)
- Evaluate a Linear Model
- Select and Transform a Variable, as well as,
- Model Validation
Course Highlight
One of the fastest-growing emerging technology, Linear Regression is being adopted by organizations for forecasts and future predictions. This applied course will teach learners how to build and evaluate a robust linear regression model, on real-world datasets.
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.
DURATION 23 Hours
SKILL TYPE Emerging Tech
COST Free
PATHWAY/COURSES Course
TYPE OF FORMAT Self Paced
INDUSTRY Artificial Intelligence
COURSE CATEGORY Industry and Govt. Approved
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
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