Vritti's repositories
CheXbert
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
data_mining_project_22
Predicting popularity of movies using the IMDb movies dataset with multiple regression algorithms such as XGBoost, Gradient Boosting, Regularization Regressors, and Stacking Regressor; Performed extensive data cleaning, feature engineering, and used transformation techniques such as winsorization and log-transformation
general_python_topics
Contains sample python codes for general topics.
nlp_retention_analysis
Retention Analysis of Population in Illinois with NLP
scikit-learn
scikit-learn: machine learning in Python
wids-datathon-2022
Team submission to WIDS Datathon 2022 Kaggle Competition
WIDS-Google
Documents and information for WIDS@Google 2022 Datathon