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Predicting Canada's unemployment rates using Linear Regression and LSTM models with data preprocessing and evaluation.

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Ericc-Hao/unemployment-rate-predict-model

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Group 2 Milestone 2 Code Folder

Installing Dependencies

Install the required Python packages using the provided requirement.txt file

pip install -r requirements.txt

Running the experiment

Execute Training process

python Training.py

Execute Test process

python Test.py

File Structure

├── README.md
├── datasets/
│   ├── filtered_data/
│   │   └── [Filtered datasets]
│   └── raw-data/
│       └── [Raw datasets downloaded from Statistics Canada]
├── Test.py (Testing and validations)
├── Training.py (Training LSTM and LR models)
├── models/
│   ├── data_preproces_piplines/
│   │   └── [Scripts for data cleaning and formatting]
│   ├── [saved training and validation losses during training process of LSTM model]
│   └── [saved model files]
└── requirements.txt

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Predicting Canada's unemployment rates using Linear Regression and LSTM models with data preprocessing and evaluation.

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