Pinned

1. Applied_Project Applied_Project Public

   ASU applied project-PetSmart’s Sentiment Analysis and Competitor Analysis. Achieved an accuracy, precision, and recall rate of approximately 75%

   Jupyter Notebook 1

2. Inventory_Planning_Suppy_Chain_Demand_Forecasting Inventory_Planning_Suppy_Chain_Demand_Forecasting Public

   Six Sigma Green Belt-Enhanced inventory planning process by implementing ML ARIMA model

   Jupyter Notebook

3. Stroke_Prediction_ML_HealthCare Stroke_Prediction_ML_HealthCare Public

   Implemented decision tree and linear SVM algorithms on healthcare datasets to predict stroke likelihood for patients, achieving model accuracies of 79% and 93% respectively

   Jupyter Notebook

4. Amazon_Reviews_Sentiment_Analysis Amazon_Reviews_Sentiment_Analysis Public

   Applied sentiment analysis models, namely Vader and Roberta, on Amazon customer reviews datasets

   Jupyter Notebook

5. Book_Recommendation_System Book_Recommendation_System Public

   Learned to develope a book recommendation model using the k-nearest neighbor algorithm

   Jupyter Notebook

6. Fraud_Detection Fraud_Detection Public

   Learned to develop decision tree and random forest algorithms, incorporating hyperparameter tuning techniques such as random search and grid search

   Jupyter Notebook