A Quick Guide to Data Mining with Weka and Java using Weka is popular PDF and ePub book, written by Eric Goh in 2024-09-30, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, A Quick Guide to Data Mining with Weka and Java using Weka can be Read Online from any device for your convenience.
A Quick Guide to Data Mining with Weka and Java using Weka Book PDF Summary
This technical book aim to equip the reader with Weka, Data Mining in a fast and practical way. There will be many examples and explanations that are straight to the point. Contents 1. Introduction (What is data science, what is data mining, CRISP DM Model, what is text mining, three types of analytics, big data) 2. Getting Started (INstall Weka) 3. Prediction and Classification (Prediction and Classification) 4. Machine Learning Basics (KMeans Clustering, Decision Tree, Naive Bayes, KNN, Neural Network) 5. Data Mining with Weka (Data Understanding using Weka, Data Preparation using Weka, Model Building and Evaluation using Weka) 6. Java interact Weka (Use Java to use Weka, in order to develop your own prediction or classification system) 7. Conclusion 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/machine-learning-with-java-and-weka/?couponCode=SPECIALCOUPON
Detail Book of A Quick Guide to Data Mining with Weka and Java using Weka PDF
- Author : Eric Goh
- Release : 30 September 2024
- Publisher : SVBook
- ISBN : 978186723xxxx
- Genre : Business & Economics
- Total Page : null pages
- Language : English
- PDF File Size : 14,6 Mb
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