Tech Assessment: Weather Trend Forecasting
To run the code, you need to install the required packages. You can do this by running the following command in the terminal:
pip install -r requirements.txt
Presented in this repository (Presentation.pdf) is a weather trend forecasting model. The data is obtained from the Kaggle.
The model jupiter notebook file is named Assessment_Notebook.ipynb. The models are based on the ARIMA, LSTM, Catboost, SARIMA models. The model is trained on the historical weather data of a city and is used to forecast the weather trend for the upcoming days.
Sample outputs of the model is shown below:
