This project shows:
- ability to write structured code in Python.
- ability to use existing utilities (libraries) for data processing and analysis.
- skills in data analysis and preprocessing
- data visualization
- Time series analysis
The project includes:
- Data preprocessing:
- Data resampling.
- Data processing for Machine Learning models.
- data analysis:
- Time Series Analysis.
- Feature Engineering:
- Extracting additional features for Machine Learning models
- Exploring Machine Learning Models
Provided data - historical data: taxi orders at airports
| Column | Description | Column type |
|---|---|---|
| num_orders | Number of taxi orders | target |
A company providing a taxi service needs a system for predicting the number of taxi orders for the next hour to attract more drivers during peak periods. Build a model that predicts number of taxi orders in next hour.
pandas numpy matplotlib seaborn scipy xgboost lightgbm statsmodels