###### Does the structure of the project is as below ?
###### Does the structure of the project look like the above?
###### Does the readme file give an introduction of the project, show the username, describe the feature engineering and show the best score the on the leaderboard?
###### Does the readme file give an introduction of the project, show the username, describe the feature engineering and show the best score on the leaderboard?
###### Does the environment contain all libraries used and their versions that are necessary to run the code?
###### Does the environment contain all libraries used and their versions that are necessary to run the code?
##### Scrapper
##### There are at least 300 news articles stored in the file system or the database.
##### Run the scrapper with `python scrapper_news.py` and fetch 3 documents. The scrapper is not expected to fetch 3 documents and stop by itself, you can stop it manually. It runs without any error and stores the 3 files as expected.
###### Run the scrapper with `python scrapper_news.py` and fetch 3 documents. The scrapper is not expected to fetch 3 documents and stop by itself, you can stop it manually. does it run without any error and store the 3 files as expected?
##### Topic classifier
###### Are the learning curves provided?
###### Are the learning curves provided?
###### Do the learning curves prove the topics classifier is trained without correctly - without overfitting?
###### Do the learning curves prove the topics classifier is trained correctly - without overfitting?
###### Can you run the topic classfier model on the test set without any error?
###### Can you run the topic classifier model on the test set without any error?
###### Does the topic classifier score an accuracy higher than 95%?
###### Does the topic classifier score an accuracy higher than 95%?
##### Scandal detection
###### Does the `README.md` explain the choice of embeddings and distance?
###### Does the `README.md` explain the choice of embeddings and distance?
###### Does the DataFrame flag the top 10 articles with the highest likelihood of environmental scandal?
###### Does the DataFrame flag the top 10 articles with the highest likelihood of environmental scandal?
###### Is the distance or similarity saved in the DataFrame ?
#####
###### Is the distance or similarity saved in the DataFrame?
##### NLP engine output on 300 articles
###### Does the DataFrame contain 300 different rows?
###### Does the DataFrame contain 300 different rows?
###### Does the columns of the DataFrame are as expected ?
###### Are the columns of the DataFrame as expected?
```
Date scrapped (date)
@ -75,7 +73,7 @@ Top_10 (bool)
##### NLP engine on 3 articles
###### Can you run `python nlp_enriched_news.py` without any error?
###### Can you run `python nlp_enriched_news.py` without any error?
###### Does the output of the nlp engine correspond to the output below?