Visual Machine Learning Modeling Project (MVP)

This project solves your ML model building problems efficiently!

Getting Started

1. type url:

   http://74.248.112.32:9165/

2. Register:

   

3. Login

   

Upload Training Data

MVP Limitation:

     - just could use CSV files as datasource

4. Upload training CSV files:

MVP Limitation:

     - just could upload atmost 10MB CSV files

6. Make training datasets:

   

Build and run ML Models:

6. Make modeling pipeline:

MVP Limitation:

  - all inputs and output columns must be numerical
  - one transformer and one model must be added to pipeline
  - just could use imputation (dropna) as transformer
  - just could use linear regression (xgboost) as model
  - other modeling settins such as column types, scaling methods, evaluation metrics and tuning parameters are set by defaut values

8. upload prediction csv file:

MVP Limitation:

     - just could upload atmost 10MB CSV files

10. create prediction dataset

    

11. wait for training model be completed

    

12. map training model with prediction dataset

    

Visualize predicted data

11. download predicted values

MVP Limitation:

     - just could add (download) predicted values as CSV file to datasources

13. Make new dataset using prediction and predicted files:

    

14. Make dashboard using new dataset:

make Graph:

make Dashboard: