Advanced Machine Learning Lab

Paper Code: 
24CBDA412
Credits: 
03
Periods/week: 
06
Max. Marks: 
100.00
Objective: 

This course will enable students to 

  1. Learn and apply different machine learning techniques in python environment in different scenarios.
  2. Apply and build Models in the context of real world problems.

 

Course Outcomes: 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course

Code

Course

Title

CO205. Identify linear and nonlinear problems in an application domain and formulate them for analysis 

CO206. Select a suitable algorithm to handle nonlinear problems.

CO207. Extract dataset, pre-process and transform them for computation.

CO208.  Design machine learning model to solve the problems and interpret their results.

CO209. Evaluate the performance of machine learning models using ML metrics.

CO210.Contribute effectively in course-specific interaction

Approach in teaching:

Interactive Lectures, Group Discussion, Case Study

 

Learning activities for the students:

Self-learning assignments, Machine Learning exercises, presentations

 

Class test, Semester end examinations, Quiz, Practical Assignments, Presentation

24CBDA412

Advanced Machine Learning Lab

(Practical)

 

 

Exercises based on the following topics:

  • Importing libraries tensorflow, keras, sklearn
  • Implementing MLP,KNN and RBM 
  • Implementing deep learning algorithms
  • Implementing ensemble algorithms

 

ESSENTIAL READINGS: 
SUGGESTED TEXT BOOKS
  1. Advanced Machine Learning with Python, Hearty John,Packt,2016.
  2. Brian Boucheron , Lisa Tagliaferri,Machine Learning projects, DigitalOcean

 

REFERENCES: 

SUGGESTED REFERENCE BOOKS

  1. Madhavan, “Mastering Python for Data Science”, Packt, 2015.
  2. McKinney, Python for Data Analysis. O’ Reilly Publication, 2017

e RESOURCES

  1. NOC: Python for Data Science, IIT Madras https://nptel.ac.in/courses/106106212Python,
  2. w3scool, https://www.w3schools.com/Jupiter :www.jupiter.comGooglecolab: www.googlecolab.com

JOURNALS

  1. Journal of Machine Learning Research (JMLR),ACM, https://dl.acm.org/journal/jmlr
  2. International Journal of Machine Learning and Cybernetics, springer : https://www.springer.com/journal/13042
Academic Year: 
2024-25
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