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B.E. (Computer Engineering) Machine Learning Lab Syllabus - Mumbai University 2026

The University has moved this degree onto NEP 2020 one year at a time. The first and second years are NEP 2020 syllabi; the third and fourth years are still examined on the REV-2019 'C' Scheme, which is what the University sets for them this year.

Machine-Learning-Lab.pdf
Semester 7 · Fourth Year CE · 1 credit · 50 marks

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Syllabus for Machine Learning Lab

Semester 7 · Fourth Year CE · 1 credit · 50 marks

Module 1: To implement Linear Regression.

Module 2: To implement Logistic Regression.

Module 3: To implement Ensemble learning (bagging/boosting)

Module 4: To implement multivariate Linear Regression.

Module 5: To implement SVM

Module 6: To implement PCA/SVD/LDA

Module 7: To implement Graph Based Clustering

Module 8: To implement DB Scan

Module 9: To implement CART

Module 10: To implement LDA

Reproduced from the University of Mumbai syllabus for B.E. (Computer Engineering) under REV-2019 'C' Scheme, in force from the academic year 2022-23. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF 7.9 (R-A) B.E. (Computer Engineering) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.24 (N) B.E. (Computer Engineering) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.15 B.E. (Computer Engineering) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
PDF 6.41 (R) B.E. (Computer Engineering) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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