|Knowledge Discovery Process Models: From Traditional to Agile Modeling|
Knowledge discovery is the process of discovering useful knowledge from a collection of data. In this course, we will learn about various algorithms that are used to derive knowledge and perform classification and prediction.
Upon successful completion of the course, the learner will be able to
Master the various concepts in Knowledge Discovery Models.
Learn how Knowledge Discovery Models plays an important role in AI and ML algorithms.
In this topic, you will learn about how to perform trend analysis using a statistical technique called Time Series Analysis.
In this topic, you will learn about finding statistically relevant patterns between data examples using Sequence Discovery.
In this topic, you will learn about deriving information from the data using various summarization techniques.
In this topic, you will learn about analyzing data for patterns, or co-occurrence, in a database using Association Rule.
In this topic, you will learn about various classification algorithms and their implementations.
In this topic, you will learn about various clustering algorithms that group set of objects in such a way that objects in the same group are more similar to each other.
In this topic, you will learn about forming regression line for the given data and Predicting the outcome for a given input using the previously formed regression relation
Learning through E-Box is completely Hands-on and practice based thereby helping you understand the intricacies of Live Project Scenarios
E-Box’s programs and Courses are designed by Professionals in the Industry & Academicians, assuring a quality learning experience
With 100’s Mentors online ready to get your Doubts clarified and to Hand Hold you, you will always have someone to sort things our for you
All our Mentors are Top Professionals from their respective Industries. In E-Box you Learn and get mentored by professionals
Auto Evaluation is the Core of E-Box. Your solutions and answers are evaluated instantaneously by E-Box, thereby saving learners a lot of time
With Auto - Evaluation being the core of the Platform, E-Box uses AI & ML to assist Learners during their course of Study
E-Box’s AI algorithms provide you with Exercises that are Personalised and Adaptive based on your Interest and Calibre
Data becomes the core for evolving a personalised learning. E-Box uses these metrics for an Auto Corrective Learning Process