https://github.com/mkhizeryounas/ml-tables

Automatically build and deploy machine learning models on structured data.
https://github.com/mkhizeryounas/ml-tables

Last synced: 8 days ago
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Automatically build and deploy machine learning models on structured data.

• Host: GitHub
• URL: https://github.com/mkhizeryounas/ml-tables
• Owner: mkhizeryounas
• Created: 2019-05-16T21:41:13.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-12-22T09:52:24.000Z (about 2 years ago)
• Last Synced: 2023-03-11T02:16:57.150Z (almost 2 years ago)
• Language: JavaScript
• Size: 576 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 9
• Metadata Files:
  • Readme: README.md

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README

        
# ML Tables

Automatically build and deploy machine learning models on structured data.

## How it works

Import - Define - Predict

### Things you need to perform

- Import data in csv format

- Define your schema (categorical / numaric)

- Analyze your input features

### Things ML Tables Does for you

- Featur engineering 

- Model selection

- Hyperparameter tuning

- Evaluate model

- Deploy model

- Generates an endpoint

## Supported Models

- Neural Netowork

- LSTM

- RNN

- Regression

## Technologies

- NodeJS

### Inspiration 

[GCP AutoML Tables](https://cloud.google.com/automl-tables/)