Interactive Word Embeddings using Word2Vec and Plotly

4.8
13 個評分
提供方
Coursera Project Network
在此指導項目中,您將:

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
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

Python ProgrammingMachine LearningNatural Language Processing

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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