https://github.com/bayunova28/sas_visual_data_mining_machine_learning
This repository contains about my weekly projects from Big Data Analytics II course at my college
https://github.com/bayunova28/sas_visual_data_mining_machine_learning
big-data-analytics big-data-projects data-science machine-learning neural-network
Last synced: 6 months ago
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This repository contains about my weekly projects from Big Data Analytics II course at my college
- Host: GitHub
- URL: https://github.com/bayunova28/sas_visual_data_mining_machine_learning
- Owner: Bayunova28
- Created: 2022-05-21T07:42:34.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2022-05-31T02:12:56.000Z (over 3 years ago)
- Last Synced: 2025-02-17T20:42:11.222Z (8 months ago)
- Topics: big-data-analytics, big-data-projects, data-science, machine-learning, neural-network
- Language: SAS
- Homepage:
- Size: 2.66 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# SAS Visual Data Mining & Machine Learning
* Instructor : Iwan Prasetiawan S.KOM., M.M..
* Place : Multimedia Nusantara University
* Course : Big Data Analytics II
## SAS® VDMML Exploratory Data Analysis (EDA) and Neural Network Models
### ObjectiveStudents well understand the benefits and functionality of SAS Visual Data Mining and Machine Learning in the SAS Visual Analytics environment,
to describe and explore data analysis using neural Network algorithm to provides procedures for sampling, data exploration, dimension reduction, and model assessment### Data Exploration
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### Impute Missing Observations### Partitioning Data
### Neural Network Model
## SAS® VDMML: Build & Compare Several Types of Models
### ObjectiveStudents understand and are able to implement the data science project using the SAS Visual Data Mining and Machine Learning to provides procedures for data exploration, model building, model comparison and selection.
### Data Preparation
### C45 (Decision Tree)
### Logistic Regression
### Gradient Boosting
### Neural Network
### Model Selection & Scoring
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