• Introduction to Python Essential
• Data Exploration, and Data Visualization
• Working with Matplotlib
• Exploring Data with pandas
• Machine Learning with Scikit-learn
• Predict the future with time series analysis
• Real world modeling and problem solving.
• How to convert your findings to research article

Participants will gain an understanding of: • Basic and advanced level subject knowledge in blockchain • Blockchain networking and technology • Smart contracts and cryptocurrencies such as Ethereum • Blockchain and various concepts of cryptocurrency • Types and components of blockchain • Blockchain v private blockchain • Industry-based live projects • Basics of hyper ledger and setup

Introduction to Python Essential
• Data Exploration, and Data Visualization
• Working with Matplotlib
• Exploring Data with pandas
• Machine Learning with Scikit-learn
• Predict the future with time series analysis
• Real world modeling and problem solving.
• How to convert your findings to research article

IOT USING ARDUINO WORKSHOP

WORKSHOP ON PYTHON (PYTHON - 2019)

Paper Presentation
Web Designing
Multimedia
Coding Contest
Code Debugging
Lan Gaming

Hands on Training on ReactJS

Registration fee can be paid by cash or DD drawn in favor of Sathyabama Institute of Science and Technology, payable at “Chennai“
The Registration fee includes Trainingkit, softcopy of Training manual, refreshment and lunch
Certificates will be issued to all the participants
20% discount on consultancy can be availed

6 days Sessions

Two Days Workshop on Deep Learning using Python (Hands on Training)
CONTENTS OF THE PROGRAMME
• Artificial Neural Networks, Back Propagation Networks, Perception
• Building Simple ANN
• Supervised Learning:
o Introduction to Convolution Neural Networks
o Hands on session in Building Convolution Neural Networks
• Supervised Learning:
o Introduction to Recurrent Neural Networks
o Hands on session in Building Recurrent Neural Networks
• Supervised Learning:
o Introduction to Self-Organizing Maps SOM
• Hands on session in Building Boltzmann Machine
• Unsupervised Learning:
o Introduction to Auto Encoders
o Hands on session in Building Auto encoders using Python

Theory, Mechanism and Applications of Optical and Fluorescence microscopy.
Sample preparation and staining procedure for Optical and Fluorescence microscopy.
Handling of microscopes with different samples.