- Waikato Environment for Knowledge Analysis (WEKA)
- Analysis & Prediction using WEKA Machine Learning Toolkit
- Python Libraries for Data Science
- Introduction to Data Science
- Introduction to Machine Learning
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.
Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this.
Weka is open source software issued under the GNU General Public License.
We have put together several free online courses that teach machine learning and data mining using R Programming, Python Programming, Weka Toolkit and SQL.
Yes, it is possible to apply Weka to process big data and perform deep learning!
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About the instructors
- 3.87 Calificación
- 61932 Estudiantes
- 18 Cursos
DATAhill Solutions Srinivas Reddy
Having 10+ Years of Experience in Software Industry which includes Development, Support & Training.
My Experience Includes Managing, Processing, Predicting and Analyzing of Large volume of Business Data.
Expertise in Data Management, BI Technologies & Data Science with Data Analytics, Machine Learning, Deep Learning & Artificial Intelligence using R Programming, Python Programming, WEKA and EXCEL.
Having publications and patents in various fields such as machine learning, data security, and data science technologies.
I received my Masters of Technology in Computer Science & Engineering from JNTU.
Professionally, I am a Data Science management consultant with over 8 years of experience in finance, retail, transport and other industries.
awasome and everyone need to take enroll in this courae i will share to my family
It was good and got to know the basics of the Machine Learning.
It was awesome. The topics are described in details
Only the first video explained the basics of WEKA. Not even the basics of WEKA, it just gives a basic definition which is even low level than Wiki. All the remaining videos are about ML and DM, The name of the course suggests that Data Mining would be taught using Weka. But here both the topics are explained irrespective of each other.
Sometimes I could not see the screen from my PC environment. The content was very easy to understand.