Machine Learning and Data Science for Engineering Applications - Online Mode

Who should attend

The programme is open to the faculty of engineering colleges, degree colleges, MCA colleges and other allied disciplines in India.

Course Content

• Overview of Machine Learning
• Regression
Univariate linear regression,
Multivariate linear regression,
Polynomial Regression, Applications
• Classification
Logistic regression, SVM, Multi-class
SVM, Decision trees, K-NN,
Applications.
• Ensemble Approaches
Bagging, Random Forests, Boosting: Adaboost,
Gradient boosting, Applications.
• Optimization: Gradient descent,
Stochastic gradient descent,
Batch gradient descent.
• Overview of Deep Learning
• Introduction to Deep Learning,
Neural Networks Basics.
• Feed forward neural networks.
• Convolutional Neural Networks (CNNs):
Foundational Concepts, Models,
Case Studies, and Applications
• Recurrent Neural Networks (RNNs):
Foundational Concepts, Models,
Case Studies, and Applications
• Concept of Data Science and Web Scraping
• Programming Tools for Data Science
• Mathematical Foundations: Linear Algebra,
Statistics, Probability and Hypothesis
and Inference
• Case Studies on ML Application
• Case Studies on DS Application

Registration Fee

Faculty and Research Scholars	Rs. 750/-
Industry Participants	Rs. 2250/-

The Participants need to pay the Registration Fee Online using the following details:
On-line Mode:
Account Name: Electronics & ICT Academy NITW
Account No: 62423775910
IFSC Code: SBIN0020149

How to Apply

Participants are required to fill the online registration form by clicking on the following link:

Registration Link:
https://forms.gle/49zkpjPMVuDBfHte7