We have built this repository to help you in the process of integrating Giskard by providing multiple notebooks which will guide you in the process .
Here is the link to our notebooks with the associated tags :
Notebook | Tags |
---|---|
Credit scoring classification model.ipynb | #scikit-learn #logistic_regression #random_forest |
Email Classification Model.ipynb | #scikit-learn #nltk #transformers #huggingface #pytorch #bert |
House pricing regression model.ipynb | #scikit-learn #random_forest #catboost |
Sentiment_Analysis_for_Twitter_Data_using_Roberta.ipynb | #transformers #huggingface #roberta #tweepy #datasets |