5277: Machine Learning LAB Syllabus for Cloud Computing & Big Data 5th Sem 2021 Revision SITTTR

Machine Learning LAB detailed syllabus for Cloud Computing & Big Data (CC) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Cloud Computing & Big Data students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Cloud Computing & Big Data 5th Sem scheme and its subjects, do visit Cloud Computing & Big Data (CC) 5th Sem 2021 revision scheme. The detailed syllabus of machine learning lab is as follows.

Course Objectives:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Course Outcomes:

On completion of the course student will be able to:

1. Configure Development Environment, Practice various data preprocessing techniques
2. Implement Prediction Algorithm
3. Practice Clustering Algorithm
4. Construct Classification Algorithms

Module 1:

1. Demonstrate working of Google Co-laboratory (Colab) Install Jupyter Notebook or Pytorch development environment
2. Practice Python libraries for Machine Learning: Numpy, Scikit Learn, Pandas, Matplotlib, Tensorflow, Keras.
3. Experiment data cleaning, Missing data handling, Encoding categorical data, Splitting dataset into training and test set, Feature scaling, Data visualization.
4. Apply Principal Component Analysis (PCA) for Dimensionality Reduction.

Module 2:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Module 3:

1. Apply K-Means clustering

Module 4:

1. Practice classification using Logistic Regression
2. Implement classification using Decision Tree and Random Forest
3. Perform comparison of Performance of classification algorithms on the same data using Performance metrics

Text Books:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Reference Books:

1. Pratap Dangeti, “Statistics for Machine Learning”, Packt

Online Resources

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

For detailed syllabus of all other subjects of Cloud Computing & Big Data (CC), 2021 revision curriculum do visit Cloud Computing & Big Data 5th Sem subject syllabuses for 2021 revision.

To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..

To see the results of Cloud Computing & Big Data (CC) of diploma 2021 revision curriculum do visit SITTTR diploma Cloud Computing & Big Data (CC) results..

For all Cloud Computing & Big Data academic calendars, visit Cloud Computing & Big Data all semesters academic calendar direct link.