multimodal_product_data_classification: A Jupyter Notebook repository from gatienc

# Multimodal Product Data Classification

A short description of Multimodal Product Data Classification.

Table of Contents

About The Project
- Built With
Getting Started
- Prerequisites
- Installation
Project Organization
Acknowledgements
Contact

About The Project

A short description of Multimodal Product Data Classification.

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Built With

Python
- Jupyter
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Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

Python

Installation

Clone the repo

git clone https://github.com/gatienc/Multimodal Product Data Classification

Install dependencies
```
pip install -r requirements.txt
```
(or other dependencies manager)

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Project Organization

├── LICENSE
├── Makefile           <- Makefile with commands
├── README.md          <- The top-level README for developers using this project.
├── data
│   ├── external       <- Data from third party sources.
│   ├── interim        <- Intermediate data that has been transformed.
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump.
│
├── docs               <- A MkDocs documentation
│
├── models             <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
│                         the creator's initials, and a short `-` delimited description, e.g.
│                         `1.0-jqp-initial-data-exploration`.
│
├── references         <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures        <- Generated graphics and figures to be used in reporting
│
├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
│                         generated with `pip freeze > requirements.txt`
│
├── src                <- Source code for use in this project.
│   ├── __init__.py    <- Makes src a Python module
│   │
│   ├── data           <- Scripts to download or generate data
│   │  
│   │
│   ├── features       <- Scripts to turn raw data into features for modeling
│   │  
│   │
│   ├── models         <- Scripts to train models and then use trained models to make
    │   │                 predictions
    │   ├── predict_model.py
    │   └── train_model.py
    │
    └── visualization  <- Scripts to create exploratory and results oriented visualizations
        └── visualize.py

Acknowledgements

Project based on my version of the cookiecutter data science project template

Contact

Gatien Chenu - gatien_dev@chenu.me

Project Link: [https://github.com/gatienc/# Multimodal Product Data Classification /issues](https://github.com/gatienc/# Multimodal Product Data Classification /issuese)

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gatienc/multimodal_product_data_classification

# Multimodal Product Data Classification

About The Project

Built With

Getting Started

Prerequisites

Installation

Project Organization

Acknowledgements

Contact