Data Mining and AI Algorithms

Data Mining and AI Algorithms, available at $159.99, has an average rating of 4.25, with 15 lectures, based on 57 reviews, and has 141 subscribers.

You will learn about Mining Association Rules Clustering Technique Classification Technique Simulation Applications This course is ideal for individuals who are Students and Professionals looking for conceptual discussions on Data Mining It is particularly useful for Students and Professionals looking for conceptual discussions on Data Mining.

Enroll now: Data Mining and AI Algorithms

Summary

Title: Data Mining and AI Algorithms

Price: $159.99

Average Rating: 4.25

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: ₹6,500

Quality Status: approved

Status: Live

What You Will Learn

Mining Association Rules
Clustering Technique
Classification Technique
Simulation
Applications

Who Should Attend

Students and Professionals looking for conceptual discussions on Data Mining

Target Audiences

Students and Professionals looking for conceptual discussions on Data Mining

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.

Course Curriculum

Chapter 1: Data Mining – Going Deep up to Hidden Valuable Patterns

Lecture 1: Hidden Valuable Pattern

Chapter 2: Mining Association Rules

Lecture 1: Association Rules – Apriori Algorithm

Lecture 2: Threshold Probability and Support

Lecture 3: Revision Questions Set A with Solutions

Chapter 3: Clustering

Lecture 1: K-Means Clustering

Lecture 2: Change in Cluster — An Example

Lecture 3: Practice Question Set A with Solution

Chapter 4: Exercises

Lecture 1: Association Rules Exercise

Lecture 2: K-Means Clustering Exercise

Chapter 5: Simulation

Lecture 1: Understanding Uncertainty and Probability

Lecture 2: Discrete Variable Simulation using Random Number Table

Lecture 3: Few Questions with Solutions

Chapter 6: Examination Questions with Answers

Lecture 1: Simulation Question

Lecture 2: Clustering Question

Lecture 3: Association Question

Instructors

Girijesh Pathak
Experienced Faculty, Tech Head and Operations Head

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 10 votes
5 stars: 44 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu