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Plan Szkolenia
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
Wymagania
- Basic knowledge of data mining process and techniques
Audience
- Data Analysts
- Data Scientists
14 godzin
Opinie uczestników (5)
how the trainor shows his knowledge in the subject he's teachign
john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
Szkolenie - Data Vault: Building a Scalable Data Warehouse
pozytywna atmosfera na szkoleniu
Piotr Wojciechowski - Centrum Informatyki Resortu Finansów
Szkolenie - Data Mining with Python
Forma przekazania wiedzy poprzez dokładne wyjaśnienie zagadnienia.
Katarzyna Stańczak - Mowi Poland SA
Szkolenie - Data Mining and Analysis
The content, as I found it very interesting and think it would help me in my final year at University.
Krishan - NBrown Group
Szkolenie - From Data to Decision with Big Data and Predictive Analytics
Very tailored to needs.