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コース概要
Introduction
- Overview of Weka
- Understanding the data mining process
Getting Started
- Installing and configuring Weka
- Understanding the Weka UI
- Setting up the environment and project
- Exploring the Weka workbench
- Loading and Exploring the dataset
Implementing Regression Models
- Understanding the different regression models
- Processing and saving processed data
- Evaluating a model using cross-validation
- Serializing and visualizing a decision tree model
Implementing Classification Models
- Understanding feature selection and data processing
- Building and evaluating classification models
- Building and visualizing a decision tree model
- Encoding text data in numeric form
- Performing classification on text data
Implementing Clustering Models
- Understanding K-means clustering
- Normalizing and visualizing data
- Performing K-means clustering
- Performing hierarchical clustering
- Performing EM clustering
Deploying a Weka Model
Troubleshooting
Summary and Next Steps
要求
- Basic knowledge of data mining process and techniques
Audience
- Data Analysts
- Data Scientists
14 時間
お客様の声 (5)
how the trainor shows his knowledge in the subject he's teachign
john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
コース - Data Vault: Building a Scalable Data Warehouse
内容は非常に興味深かったので、大学最後の年に役立つと思いました。
Krishan - NBrown Group
コース - From Data to Decision with Big Data and Predictive Analytics
Machine Translated
I enjoyed the good real world examples, reviews of existing reports.
Ronald Parrish
コース - Data Visualization
Very tailored to needs.
Yashan Wang
コース - Data Mining with R
The trainer was so knowledgeable and included areas I was interested in.