What you'll learn
- Mining Association Rules
- Clustering Technique
- Classification Technique
- Basic Mathematics
This course discusses some of the most important Data Mining Techniques without use of any programming language or tool. These techniques provide the foundation of intelligent system. The focus is on learning the concepts in simple way and understanding how these techniques can change the way we do our work. This knowledge is necessary to be able to take advantage of AI implementation in the organization.
This course focusses on conceptual discussions and tries to go deep into the concepts. Small datasets have been used so that one can do the computations manually and get the feel of various algorithms.
We have discussed some fine points of Association Mining and Clustering here. Few questions related to Simulation too have been discussed without having much discussion about the techniques. As we are building this course, we are giving priority to some immediate requirements.
We first aim to do the three important data mining techniques -- Clustering, Association and Classification in detail.
This course is being developed. At present, it is meeting partial requirement of a set of students in a particular course. If you are not from that course and enrol here, you get the feel of what we aim at. We will built it over coming few months.
You can ask questions. Or, if there is any urgent need, please message me through the system. Those needs can be taken care on priority.
Who this course is for:
- Students and Professionals looking for conceptual discussions on Data Mining
I am a graduate from Indian Institute of Technology, Kharagpur and a Ph. D. from Jharkhand Rai University, Ranchi, India. I enjoy teaching Operations Research and Applied Mathematics to students at different levels. My main engagement is with Insurance professionals who need to apply data science and related concepts extensively in their area of work.
These subjects can be learnt best when done in intuitive way. I prefer to focus on logic and try to get to the nuances of mathematical concepts.