Skip to content
training Google AutoML model for student course reviews using 2017 Kaggle 100K Coursera's Course Reviews Dataset
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.idea
.ipynb_checkpoints
100k-courseras-course-reviews-dataset
coursereviews
reviews
scripts
tweets
LICENSE
README.md
coursera-reviews.ipynb
manage.py
requirements.txt

README.md

coursereviews-automl

training Google AutoML model for student course reviews using 2017 Kaggle 100K Coursera's Course Reviews Dataset

The steps that you need to train Google AutoMl model for course reviews is as follows:

  1. setup a google cloud account

  2. read the beginner's guide to using AutoMl for natural language at https://cloud.google.com/natural-language/automl/docs/beginners-guide

  3. download Kaggle 100K Coursera's Course Reviews Dataset or access the data set from folder with the same name inside the repo

  4. read the instructions on preparing your training data

  5. setup a google cloud project for AutoML and a google cloud storage for the dataset. quickstart is useful here.

  6. setup the dataset and manage the model. You can do this via the ui at https://cloud.google.com/automl/ui/ or through Python/Java/command line/nodejs as explained in https://cloud.google.com/natural-language/automl/docs/models#automl-nl-example-web My code is listed in coursera-reviews.ipynb as a Jupyter notebook

  7. check the results and validate your dataset through the AutoML UI listed in 6

Now that you have the model trained and validated, you can evaluate the model with new data

You can’t perform that action at this time.