- This project is closely related to real-world tasks for professionals working in the field of data science.
- Build and Deploy a Data Analysis Project: Learn to set up and execute a complete data analysis project.
- Time Series Data Processing: Handle time series data using Pandas.
- Data Visualization: Create visual representations of data with Matplotlib.
- Feature Engineering for Forecasting Models: Learn how to create features to build forecasting models with time series data.
- High-Accuracy AI Models: Develop high-accuracy forecasting models using LightGBM.
- Model Optimization: Use Optuna to find optimal hyperparameters for your models.
- Feature Importance Analysis: Utilize the SHAP library to evaluate feature importance.
- Individuals interested in data analysis and data science, especially those working in business and sales.
- Those with basic programming skills looking to expand their knowledge in data analysis.