abhimlv/FDA-Drug-Marketing-Category-Classifier
📦 FDA-Drug-Marketing-Category-Classifier A comprehensive machine learning pipeline to classify U.S. FDA-listed drug products into marketing categories (e.g., ANDA, OTC, BLA, NDA, etc.) using tabular data. Includes preprocessing, feature engineering, model training (Random Forest, XGBoost, Deep Learning), evaluation, and visualizations.
No commits in the last 6 months.
Stars
—
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 05, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/abhimlv/FDA-Drug-Marketing-Category-Classifier"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Rakesh9100/ML-Project-Drug-Review-Dataset
This is an innovative machine learning project that utilizes patient reviews with many other...
Noel65/healthcare-patient-data-analysis
Healthcare data analysis project using Python for EDA, data cleaning, and extracting insights...
Yadhidya/Predictions_of_Medicines_using_ML
Machine learning system for predicting drug consumption patterns using behavioral, demographic,...
noulisg-scripts/neural-network-drug-side-effects-prediction
TensorFlow/Keras neural network for predicting drug side effects using synthetic clinical data...
simayyapilcan/apple-health-data-analysis
Apple Health data analysis project using Python and machine learning.