Short Term Training Programmes (STTP)

Machine Learning Technique for Data Mining

When

03 Apr 2020
10:00 AM

Organised by

RGPV Under TEQIP - III
At NRI Institute of Research Technology, Bhopal MP

About Event,
Machine Learning Technique for Data Mining

This Training provide machine learning technique for the development of the use of data mining techniques for knowledge discovery. It mainly focuses on providing a practical explorer of machine learning technique in data mining process on using data mining tools. Trainee understand the concept of ma

The Speakers

Lecture From Industries Experts

Events Details

Machine Learning Technique for Data Mining

About Event

This event provide the short term training program to faculties and students for providing or upgrade the skill of data mining techniques for that coordinator split this two days training program in six session , three session per day. In the first day Mr. Vaibhav Patel, speaker form NITTTR, Bhopal, start with delver the theory session followed by inaugural function. On the same day afternoon session Ms. Nikita Choudhary, MD, Techsim deliver the practical training session, and on the second day Mr. Ajay Kumar Chobey, research scholars form NITTTR, Bhopal present their training session in morning sessioan and in afternoon Ms. Nikita Choudhary , Industry Person they will deliver the practical training session till evening and after this session event will conclude by the coordinator.

The Speakers

1. Mr. Vaibhav Patel, Research Scholar, NITTR, Bhopal. 2. Ms. Nikita Choudhary Industry Person. 3. Mr. Ajay Kumar Chobey Research Scholar, NITTR, Bhopal.

Major Topic Covered

Machine Learning is the most popular technique of predicting the future or classifying information to help people in making necessary decisions. Machine Learning algorithms are trained over instances or examples through which they learn from past experiences and also analyze the historical data. Therefore, as it trains over the examples, again and again, it is able to identify patterns in order to make predictions about the future. This trainers cover the following topics. ML Classification, ML Tools, ML Algorithms, ML Applications, ML Tools.

Department of Computer science

Department offers 4 year B.E. programme in Computer science and Engineering with an intake of 60 students, 2 year M.Tech. Programme with an intake of 18 students and 3 year Diploma Programme with an intake of 30 students. It has well qualified, committed and motivated faculty members having specialization in various streams. The core competency of the Department is in the area of AI, Machine Learning, Python, Linux, Cloud Computing, and Android.