- Introduction (What is data science, what is data mining, CRISP DM Model, what is text mining, three types of analytics, big data)
- Getting Started (INstall Weka and RapidMiner)
- Prediction and Classification (Prediction and Classification)
- Machine Learning Basics (Kmeans Clustering, Decision Tree, Naive Bayes, KNN, Neural Network)
- Data Mining with Weka (Data Understanding using Weka, Data Preparation using Weka, Model Building and Evaluation using Weka)
- Data Mining with RapidMiner (Data Understanding using RapidMiner, Data Preparation using RapidMiner, Model Building and Evaluation using RapidMiner)
- Conclusion
A Quick Guide to Data Mining using RapidMiner and Weka
This book is 100% completeLast updated on 2019-05-15
Want to know about data mining? This book will help you to do data mining using Weka and RapidMiner.
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About
About the Book
This book aim to equip the reader with RaidMiner and Weka and Data Mining basics. There will be many examples and explanations that are straight to the point. You will be walked through data mining process from data preparation to data analysis (descriptive statistics) and data visualization to prediction modeling (machine learning) using Weka and RapidMiner.
Content Covered:
- Introduction (What is data science, what is data mining, CRISP DM Model, what is text mining, three types of analytics, big data)
- Getting Started (INstall Weka and RapidMiner)
- Prediction and Classification (Prediction and Classification)
- Machine Learning Basics (Kmeans Clustering, Decision Tree, Naive Bayes, KNN, Neural Network)
- Data Mining with Weka (Data Understanding using Weka, Data Preparation using Weka, Model Building and Evaluation using Weka)
- Data Mining with RapidMiner (Data Understanding using RapidMiner, Data Preparation using RapidMiner, Model Building and Evaluation using RapidMiner)
- Conclusion
We will be using opensource tools, hence, you don't have to worry about buying any softwares. The book is designed for non-programmers only. It will gives you a head start into Weka and RapidMiner, with a touch on data mining.
This book has been taught at Udemy and EMHAcademy.com.
Use the following Coupon to get the Udemy Course at $11.99:
https://www.udemy.com/data-mining-with-rapidminer/?couponCode=EBOOKSPECIAL
https://www.udemy.com/learn-machine-learning-with-weka/?couponCode=EBOOKSPECIAL
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Author
About the Author
Eric Goh
Here is your updated Professional Biography incorporating the explicit UK ENIC recognition of 3 RQF Level 7 qualifications, alongside the credit volume framing equivalent to 3 Master's degrees / Professional Doctorate coursework:
Professional Biography
Goh Ming Hui is a Senior Data Science Leader, Educator, and Software Engineer based in Singapore, and the founder of EGMHAcademy. Driven by an integrated end-to-end systems philosophy, Goh bridges physical hardware, software architecture, domain strategy, and advanced statistics to lead complex technical initiatives across Data Science and the Internet of Things (IoT).
Goh holds three distinct RQF Level 7 / SCQF Level 11 postgraduate qualifications as officially evaluated by UK ENIC:
- Master of Technology (Knowledge Engineering) from the National University of Singapore (NUS), focusing on software architecture, advanced algorithms, and computer science.
- Executive Master of Business Administration (IT Management) from IGNOU, focusing on enterprise strategy and domain management.
- Graduate Diploma in Mechatronics from the Singapore Workforce Development Agency, evaluated at UK RQF Level 7 / SCQF Level 11 and providing a foundation in hardware engineering, embedded systems, and automation.
His postgraduate academic coursework has been evaluated by World Education Services (WES Report Ref #: 4572170) across a combined total volume of 117.5 Graduate Semester Credits. This academic credit volume represents coursework equivalent to around 3 standard Master's degrees (standard U.S. Master’s = 30–36 credits) or the cumulative post-baccalaureate coursework load required for a Professional Doctorate / PhD program. Overall, WES officially verifies his education as equivalent to a U.S. Bachelor's degree alongside multiple U.S. Master's degrees.
Throughout his career across higher education, institutional research, and enterprise automation, Goh has developed data systems, software applications, and research models:
- Founder & Lead Educator (EGMHAcademy): Authored technical books including Learn R for Applied Statistics (published by Apress / Springer Nature), created 30 online courses, published 34 technical tutorials on Medium, and developed 21 standalone applications including open-source tools such as Green Office, JAMS, JARI, and JASS.
- Higher Education & Academic Faculty: Instructed undergraduate and diploma courses in Python, Java Programming, Data Mining, Data Analytics, and Rapid System Development across institutions including University of the People, Kaplan, and MDIS.
- Institutional Research & Automation: Served as a Data Science Research Analyst at Nanyang Technological University’s Institutional Statistics Unit, where he developed the Data Science Toolkit (DSTK - NTU Version) and JATI (Just Another Tesseract Interface) to automate data cleaning and extraction pipelines for global university rankings (QS, THE, ARWU).
- Applied Machine Learning & Research: Prototyped relationship recommendation engines using Natural Language Processing (NLP) at Singapore Management University, led machine learning pipelines for Singapore Customs trade automation at CrimsonLogic, and conducted microcontroller and hardware-software R&D for medical and robotics projects at the Singapore University of Technology and Design (SUTD) alongside MIT faculty.
Goh’s research and academic contributions have earned him elections and memberships in prestigious international honor societies, including Sigma Xi (The Scientific Research Society) as a Full Member, Upsilon Pi Epsilon (UPE), Delta Epsilon Tau (DET), and Golden Key International. He is also a Fellow of The Institute of Management Specialists (UK) and a recipient of the Merit Award in the Tan Kah Kee Young Inventors' Award.
In addition to his technical work, Goh holds global business exposure from the France Business Exchange Program at ESSEC Business School and holds certified business proficiency through the Business Chinese Test (BCT Level 4).
Contents
Table of Contents
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