NPTEL Data Science For Engineers Week 1 Quiz Assignment Solutions | July 2023 | IIT Madras
🔊NPTEL Data Science For Engineers Week1 Assignment Solution 2023 | 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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