Three Days Faculty Development Programme (FDP) on Machine Learning using Python 2018

ABOUT THE FDP
The FDP is designed for researchers intended in analytics at any stage of their careers, including undergraduate and graduate students, faculty and scientists at their institutions. The FDP will emphasize hands on sessions. The hands on sessions are designed based on domains like programming on Python, Predictive modeling, Machine Learning Algorithms. For data analysis and interactive, exploratory computing and data visualization, Python will inevitably draw comparisons with the many other domain-specific open source software. R is an open source package for Data Mining. It is available as stand-alone application for Data Analysis and as a Data Mining engine for the integration into own products.
CONTENTS OF THE PROGRAMME
• Introduction to analytics
• Introduction to Python
• Data summarization, visualization, aggregation, etc using python
• Multiple linear regression
• Dummy variable regression
• Binary logistic regression
• Classification and regression Tree
• Random Forest, Bagging
• K nearest neighbor
• Naive Bayes Classifier
• Support Vector Machine

CONTENTS OF THE PROGRAMME
• Introduction to analytics
• Introduction to Python
• Data summarization, visualization, aggregation, etc using python
• Multiple linear regression
• Dummy variable regression
• Binary logistic regression
• Classification and regression Tree
• Random Forest, Bagging
• K nearest neighbor
• Naive Bayes Classifier
• Support Vector Machine

Mr. Boby John
Technical Officer
Statistical Quality Control and
Operations Research
Indian Statistical Institute, Bangalore.

CONTENTS OF THE PROGRAMME
• Introduction to analytics
• Introduction to Python
• Data summarization, visualization, aggregation, etc using python
• Multiple linear regression
• Dummy variable regression
• Binary logistic regression
• Classification and regression Tree
• Random Forest, Bagging
• K nearest neighbor
• Naive Bayes Classifier
• Support Vector Machine

Last date for Registration: 15.06.2018

REGISTRATION FEE
PG Students / Research Scholar : Rs. 500
Faculty : Rs. 750
Industry participant : Rs.1000

CSE Seminar Hall
Department of Computer Science and Engineering
SRI RAMAKRISHNA ENGINEERING COLLEGE
Vattamalaipalayam, N.G.G.O. Colony Post
COIMBATORE – 641 022

*(For accommodation nominal charges of Rs. 150/- day in college hostel)