B.E Artificial Intelligence and Machine Learning Data Analytics and Visualization Lab Syllabus - Mumbai University
This is the Third Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2022-23. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.
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Syllabus for Data Analytics and Visualization Lab
Module 1: Getting introduced to data analytics libraries in Python and R.
Module 2: Simple Linear Regression in Python/R.
Module 3: Multiple Linear Regression in Python/R.
Module 4: Time Series Analysis in Python/R.
Module 5: Implementation of ARIMA model in python / R.
Module 6: Text analytics: Implementation of Spam filter/Sentiment analysis in python/R.
- Two visualization experiments in R using different Libraries. Two visualization experiments in python using different Libraries.
Useful Links
- 1 https://www.geeksforgeeks.org/data-visualization-with-python
- 2 https://www.coursera.org/specializations/data-science-python
- 3 https://www.geeksforgeeks.org/data-visualization-in-r/
- 5 https://towardsdatascience.com/introduction-to-arima-for-time-series-forecasting
- 1 Data Analytics using R, Bharati Motwani, Wiley Publications
- 2 Python for Data Analysis: 3rd Edition, WesMcKinney, Publisher(s): O'Reilly Media, Inc.
- 3 Better Data Visualizations A Guide for Scholars, Researchers, and Wonks, Jonathan Schwabish, Columbia University Press
Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) 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.