B.E. (Automation and Robotics) 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.
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Syllabus for Machine Learning Lab
Module 1: Write python program to determine mean, variance and standard deviation of given data set.
Module 2: Write python program to implement linear regression with one variable for given data set.
Module 3: Write python program to implement linear regression with two variables for given data set.
Module 4: Implement regularized regression techniques such as LASSO or Ridge for given dataset
Module 5: Write python programs to implement logistic regression for any given dataset.
Module 6: Write python programs to implement K-means clustering algorithm for image compression
Module 7: Write python programs to implement Hierarchical clustering for any application
Module 8: Implement SVM for any classification application
Module 9: Implement decision tree or random forest algorithm for data classification
Module 10: Implement ANN for hand-written digit recognition
Module 11: Write a program for application of ML algorithm for automation application
- 12. Case study/ mini-project on applying ML algorithms for any robotic application
Reproduced from the University of Mumbai syllabus for B.E. (Automation and Robotics) under REV-2019 'C' Scheme, in force from the academic year 2023-24. 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.