Interactive Word Embeddings using Word2Vec and Plotly

4.6
estrellas
34 calificaciones
ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

Clean and preprocess text data for modeling

Train and evaluate word embedding models

Build an interactive network graph that can be used for recommendations and related item discovery

Clock2 hours
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

In this 2 hour long project, you will learn how to preprocess a text dataset comprising recipes. You will learn how to use natural language processing techniques to generate word embeddings for these ingredients, using Word2Vec. These word embeddings can be used for recommendations in an online store based on added items in a basket, or to suggest alternative items as replacements when stock is limited. You will build this recommendation/discovery feature in an interactive and aesthetic visualization tool. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

  • Python Programming
  • Machine Learning
  • Natural Language Processing

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Introduction to the task and demo

  2. Exploratory data analysis and preprocessing

  3. Model theory and training

  4. Basic model results analysis

  5. Building interactive visual tool with graphs for full-scale analysis

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

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