syrymt Goto Github PK

building-a-recommender-system

credit-card-fraud-analysis

This project focuses on analyzing a dataset of credit card transactions to identify patterns associated with fraudulent activities. Using Python and its powerful libraries such as Pandas, Matplotlib, Seaborn, and Plotly, the project delves into a comprehensive exploration and visualization of the data.

forecasting-sales-projections

This sales data analysis and forecasting project offers valuable insights into sales trends and predicts future performance, which can be crucial for strategic planning and decision-making. The combination of descriptive analytics and predictive modeling provides a robust toolset for understanding and leveraging sales data.

improving-bankruptcy-prediction-models-using-feature-selection-and-hybrid-resampling-techniques

To what extent does the implementation of hybrid resampling techniques with feature selection methods enhance the predictive performance of supervised models on corporate insolvency when dealing with imbalanced datasets?

predicting-and-analysis-of-nba-shooting-points

predicting-hotel-cancellations

DT, RF and XGBoost were used to predict hotel cancellations. XGBoost was found to be the best performing algorithm

weather-analysis-and-prediction

a comprehensive examination and forecast of Rome's climate changes over the last forty years, with a focus on temperature variations including annual average temperature and fog day frequency. Leveraging data from www.ilmeteo.it, the project involves meticulous data mining, cleaning, and exploratory analysis to uncover historical climate patterns.