Predict Opioid Prescribers
A pattern focusing on how to use scikit learn and python in Watson Studio to predict opioid prescribers based off of a 2014 kaggle dataset.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Adam_qas | 298 | 4 years ago | 8 | gpl-3.0 | Python | |||||
| ADAM - A Question Answering System. Inspired from IBM Watson | ||||||||||
| Movie Recommendation Chatbot | 35 | 4 months ago | mit | Jupyter Notebook | ||||||
| Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses. | ||||||||||
| Predict Opioid Prescribers | 28 | 4 years ago | Jupyter Notebook | |||||||
| A pattern focusing on how to use scikit learn and python in Watson Studio to predict opioid prescribers based off of a 2014 kaggle dataset. | ||||||||||
| Sms Spam Filter Using Hortonworks | 5 | 5 years ago | apache-2.0 | Jupyter Notebook | ||||||
| Build Spam Filter Model on HDP using Watson Studio Local | ||||||||||
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