This Jupyter Notebook project was originally completed three months ago. Recently, I made some modifications to improve its functionality and accuracy. However, please note that this notebook may not be as efficient or up-to-date as some of the other notebooks available on my GitHub (e.g Bank Marketing Campaign). It serves as a valuable learning experience and showcases the progress made over time.
- Detailed analysis and insights
- Data cleaning and preprocessing
- Visualization of key metrics
- Model optimization and fitting
- Model evaluation and visualization
- Updated model fitting
- Enhanced data visualization
- Improved code efficiency
- Boosted code clearness and stability
- Elevated model accuracy and precision
- Data analysis and manipulation using Pandas
- Data visualization with Matplotlib and Seaborn
- Machine learning model implementation with Scikit-learn
- Hyperparameter tuning and model evaluation
- Feature selection and dimensionality reduction
This project is licensed under the MIT License.