NIT Tiruchirappalli - e-Workshop on Machine Learning Techniques for Research in Economics, Commerce, and Management using Python, R, and MATLAB, Apply by 09 July 2023.
Overview:
NIT Tiruchirappalli is organizing a Workshop on Machine Learning Techniques for Research in Economics, Commerce, and Management using python, R, and MATLAB.
This workshop will cover all the supervised and unsupervised machine learning techniques used in the field of economics, commerce, and management. After completing the workshop, the participants will be able to apply the techniques to fulfill their research/academic purposes. The workshop will discuss all the techniques from scratch. Throughout the course, more hands-on sessions are included for the benefit of the participants.
Topic:
- Introduction to machine learning
- Installation- Python, R, and MATLAB/SCILAB
- Regression models in machine Learning
- Linear regression and multiple regression- LAB
- Regression-SVR, DT, and RF Theory & LAB
- Logistic Regression-Theory & LAB
- K-Nearest Neighbour-Theory & LAB
- Support Vector Machine Theory & LAB
- Bayesian Classifier-Theory & LAB
- Decision tree classification Theory & LAB
- Random Forest classification Theory & LAB
- Clustering
- Dimensionality Reduction Theory & LAB
- Hands-on regression techniques
- Hands-on classification techniques
- Hands-on cluster analysis
Eligibility:
- Students (UG & PG)
- Ph.D. Scholars
- Faculty &
- Working professionals
Registration Fee:
| Category | Students/Scholars | Students/Scholars |
| Single | ₹ 1000 | ₹ 1500 |
| Group of 3 | ₹ 2700 | ₹ 3000 |
| Group of 5 | ₹ 3400 | ₹ 4000 |
| Group of 10 | ₹ 5000 | ₹ 7500 |
Payment Procedure:
- Select the state as ‘Tamil Nadu’, and the category as ‘EducationaI Institutions’.
- Select “Conference and Workshop NIT Trichy”.
- The select payment category as “HSSRM-MLREC-2022”.
- Make payment through UPI/ Net Banking/ Credit card/ NEFT.
- Once the fee is paid, fill up your details and upload the payment receipt in the google form found below.
Date:
- 10 - 14 JULY, 2023
- 05 PM - 08 PM