NPTEL Data Science For Engineers Week8 Practice Quiz Assignment Solutions | Jan 2024 | IIT Madras

Опубликовано: 23 Июль 2026
на канале: Techies Talk
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🔊NPTEL Data Science For Engineers Week8 Practice Assignment Solution 2024 | https://techiestalk.in/

⛳ABOUT THE COURSE :
🎯Learning Objectives :
➡️Introduce R as a programming language
➡️Introduce the mathematical foundations required for data science
➡️Introduce the first level data science algorithms
➡️Introduce a data analytics problem solving framework
➡️Introduce a practical capstone case study
🎯Learning Outcomes:
➡️Describe a flow process for data science problems (Remembering)
➡️Classify data science problems into standard typology (Comprehension)
➡️Develop R codes for data science solutions (Application)
➡️Correlate results to the solution approach followed (Analysis)
➡️Assess the solution approach (Evaluation)
➡️Construct use cases to validate approach and identify modifications required (Creating)
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✨COURSE LAYOUT✨
🎯Week 1: Course philosophy and introduction to R
🎯Week 2: Linear algebra for data science : Algebraic view - vectors, matrices, product of matrix & vector, rank, null space, solution of over-determined set of equations and pseudo-inverse), Geometric view - vectors, distance, projections, eigenvalue decomposition
🎯Week 3: Statistics (descriptive statistics, notion of probability, distributions, mean, variance, covariance, covariance matrix, understanding univariate and multivariate normal distributions, introduction to hypothesis testing, confidence interval for estimates)
🎯Week 4: Optimization
🎯Week 5: Optimization, Typology of data science problems and a solution framework
🎯Week 6: Simple linear regression and verifying assumptions used in linear regression, Multivariate linear regression, model assessment, assessing importance of different variables, subset selection
🎯Week 7: Classification using logistic regression
🎯Week 8: Classification using kNN and k-means clustering
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🔴Textbooks and References:
1. INTRODUCTION TO LINEAR ALGEBRA - BY GILBERT STRANG
2. APPLIED STATISTICS AND PROBABILITY FOR ENGINEERS – BY DOUGLAS MONTGOMERY
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⚠️ Disclaimer: We would like to clarify that we cannot guarantee 💯% accuracy in the provided solutions. These answers are formulated based on our understanding and knowledge. Our intention is to offer these solutions as references for your convenience. We strongly encourage our student community to independently complete and verify your assignments.

➡️ Please be aware that any modifications made to the answers will be communicated in the comment section.
➡️ If you have any uncertainties regarding the solutions, kindly express them in the comment section, and we will make every effort to address and clarify them.
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