GitHub / rhsbd 1 Repository
rhsbd/Credit-Card-Fraud-Detection-on-Imbalanced-Data-Using-Machine-Learning
A Jupyter notebook that applies machine learning techniques to detect credit card fraud on imbalanced data. It covers data preprocessing, EDA, handling class imbalance, training classifiers (Logistic Regression, Decision Tree, RandomForest), and saving the trained models.
Language: Jupyter Notebook - Size: 5.18 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
rhsbd/Crop-Recommendation-Using-Machine-Learning
A Streamlit app that predicts the best crop to grow based on soil and environmental conditions using a machine learning model. Input parameters like nitrogen, phosphorus, and rainfall to receive crop recommendations.
Language: Jupyter Notebook - Size: 599 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0