WEKA

WEKA

course

Weka provides the best machine learning experience for newbie AI enthusiasts without coding experience

Classes : 30                  Days : 3 months                  Duration : Weekdays / Weekends

Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Weka is an efficient tool that allows developing new approaches in the field of machine learning.

It contains a collection of perception devices and calculations for information examination and prescient demonstration combined with graphical UI. Weka upholds a few standard information mining undertakings, all the more explicitly, information pre-handling, bunching, characterization, relapsing, representation, and element choice. It's extensible, and has a large portfolio of highly tweakable algorithms built in. Configuration is minimal; it's just easy.

There are 70+ algorithms included, and many more available on the package store. Hyperparameters are extremely granular, along with options as to what data is output. A confusion matrix is automatically generated, and a detailed cost-benefit analysis function adds more functionality to this toolbox. There is a plethora of extensions available for Weka, most of which can be found in the built-in package manager.

Weka's advantage stands alone when it comes to testing new ideas quickly, which gives you most accurate results. No coding is required, everything can be done through a UI.

This course provides an in-depth look at WEKA, giving you the knowledge to build your skills in this area. This is an enlightening course and doesn't require any coding experience at all. Why Wait? Register today.

Trainers:
Experts from the field of Maths, Data Science and Management, each with over 25 years of International experience working in EU/US/Australia

Who is this for?

Beginners - to both data science and machine learning as a whole. No coding is required, just a basic understanding of common data science concepts.
-You are familiar with SQL, Statistics and Machine Learning Algorithms

:- ARFF Data Format
:- Data Pre-processing
:- Command Line
:- GUI
:- Package Manager
:- Clustering
:- Classification using explorer
:- Association
:- Visualization
:- Selecting Attributes
:- Systematic Oversampling
:- Model Evaluation
:- Feature Selection
:- Generating Non-stratified folds
:- Held-Out Testing
:- Analyzing Results
:- Experiments
:- Plugins
:- Datasets
:- Bayesian Classifiers
:- Different Data Formats

Student Reviews

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.

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