This project demonstrates the implementation of a Random Forest Regression model using Python for predicting academic performance scores, with emphasis on model evaluation, feature importance, and ...

2️⃣ The output will be saved in the results/predictions.csv file. 🛠️ Model Training Script. The model is a Random Forest Classifier trained on the heart.csv dataset. The model.pkl file contains both ...

For the analysis, a sample of 4920 patient records with 41 disorders was chosen. A total of 41 diseases made up the dependent variable. We enhanced 95 of the 132 independent variables (symptoms) that ...

Machine learning has become progressively sophisticated and sturdy due to the development of new algorithms. A compelling application is observed in general is the prediction of the house price. The ...