Machine Learning and Deep Learning with Python - 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

• Introduction to machine learning and deep learning
• Python Essentials
Installation, Python Editors & IDE's (Anaconda, Spyder,
Jupyter), Primitive Data types,
lists, tuples, dictionaries, strings
Data manipulation tools
(Operators, Functions, Packages,
Loops, arrays, etc.), Importing
Data from various sources (CSV,
txt, etc.),
Exporting Data to various formats
• 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.
• 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.
• Encoder-decoder architectures: Foundational Concepts,
Models, Case Studies, and Applications.
• Auto encoder: Foundational Concepts, Models, Case Studies,
and Applications.
• Generative Adversarial networks: Foundational Concepts,
Models, Case Studies, and Applications.
• Deep Reinforcement learning: Foundational Concepts, Models,
Case Studies, and Applications.
• Improving Deep Neural Networks: Hyper-parameter tuning,
Regularization and Optimization.
• Hands-on to the majority of the topics
using Python, Takehome project.

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/h4XQ6M9X4Jpj2HuP7