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Learn Data Mining, earn certificates with free online courses from Harvard, Stanford, MIT, University of Michigan and other top universities around the world. Read reviews to decide if a class is right for you.
Learn to use R software for data analysis, visualization, and to perform dozens of popular data mining techniques.
WEKA tool for data preparation, classification, regression, clustering, association rules mining, and visualization
Learn about Data Mining Standard Processes, Survival Analysis, Clustering Analysis, Various algorithms and much more.
Learn data mining techniques, from preprocessing to clustering, with NPTEL's 16-hour program. Gain knowledge in association rules, decision trees, Bayes Classifier, and more.
This video teaches Data Mining and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.
An introduction to data mining through the lens of music information retrieval. Topics explored include classification (genre, mood, instrument), multi-label classification (tagging), and regression (emotion/mood).
Learn practical data mining techniques with the University of Waikato's 15-week online course. Use the Weka workbench, handle large datasets, and extend Weka's functionality.
Learn data mining techniques using Weka from the University of Waikato. Explore datasets, build classifiers, and understand overfitting in a 4-5 hour study.
Explore advanced data mining techniques with the University of Waikato's 4-5 hour program, covering classifiers, decision rules, attribute selection, neural networks, and more.
Master advanced data mining techniques with Weka in this 5-hour program from the University of Waikato, covering topics from linear regression to image classification.
Get started in data mining. Discover data mining techniques such as data reduction, clustering association analysis, and more, with data mining tools like R and Python.
Don't use data mining as a black box. Get a deep understanding of how the data mining algorithms work. This knowledge is not only theoretical; it helps you developing better models in production.
OpenCV is a widely-used data science and machine learning software library. This course will teach you the basics of Image Processing and Analysis using OpenCV with Python, including feature detection, image classification, and object detection.
This course will teach you several models like Bayesian Networks, LBP, Variable Elimination, etc. with the help of which you can derive complex relationships across multiple input variables or features.
This course covers the important techniques in model evaluation for some of the most popular types of data mining techniques. These techniques range from association rules learning to clustering, regression, and classification.
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