Data mining with Weka for Beginners

"Data Mining with Weka", "More Data Mining with Weka" and "Advanced Data Mining with Weka": MOOCs from the University of Waikato - the home of Weka. Download course materials: https://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/ Slides (PDF): https://docs.google.com/file/d/0B-f7ZbfsS9-xY2RlZGtpNVRjaUk/edit?resourcekey=0-uX6pZ_zFffAMW8O_A8PyLQ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/ Source License: Creative Commons Attribution license (reuse allowed Table of content (videos combined) Data Mining with Weka (1.1: Introduction) Data Mining with Weka (1.2: Exploring the Explorer) Data Mining with Weka (1.3: Exploring datasets) Data Mining with Weka (1.4: Building a classifier) Data Mining with Weka (1.5: Using a filter ) Data Mining with Weka (1.6: Visualizing your data) Data Mining with Weka (2.1: Be a classifier!) Data Mining with Weka (2.2: Training and testing) Data Mining with Weka (2.3: Repeated training and testing) Data Mining with Weka (2.4: Baseline accuracy) Data Mining with Weka (2.5: Cross-validation) Data Mining with Weka (2.6: Cross-validation results) Data Mining with Weka (3.1: Simplicity first!) Data Mining with Weka (3.2: Overfitting) Data Mining with Weka (3.3: Using probabilities) Data Mining with Weka (3.4: Decision trees) Data Mining with Weka (3.5: Pruning decision trees) Data Mining with Weka (3.6: Nearest neighbor) Data Mining with Weka (4.1: Classification boundaries) Data Mining with Weka (4.2: Linear regression) Data Mining with Weka (4.3: Classification by regression) Data Mining with Weka (4.4: Logistic regression) Data Mining with Weka (4.5: Support vector machines) Data Mining with Weka (4.6: Ensemble learning) Data Mining with Weka (5.1: The data mining process) Data Mining with Weka (5.2: Pitfalls and pratfalls) Data Mining with Weka (5.3: Data mining and ethics) Course: http://weka.waikato.ac.nz/ YouTube: https://www.youtube.com/user/WekaMOOC/about ************ Must watch ❤️ Linux Data Science Project #1: How to Analyze US University Ranks at Linux Command Line? https://youtu.be/Jcrbxws9Av4 Linux Data Science Project #2: Facebook Data Analytics with Linux Bash Shell https://youtu.be/2x2lzxCaIcc Linux Data Science Project #3: Statistical Data Analytics with Linux Bash Shell https://youtu.be/H6T75SJxTjQ Learn Practical Data Sciences with Bash Shell: Full Video Course! https://youtu.be/g3d7r7hHwmI Scientific Programming School - An Introduction https://youtu.be/JhQFNgoYNoc Join us! 🚀 Like our FB Page: https://www.facebook.com/learnscientific Our Website: https://scientificprogramming.io/