/Population-Forecast-Prediction

Population Prediction forecasts the Haggis population on a mountain. Ecologists have recorded the population over five years and have satellite estimates. The goal is to predict the true population 12 months ahead using machine learning and time series analysis techniques. This project is for the COM6509 - Machine Learning and Adaptive Intelligence

Primary LanguageJupyter NotebookGNU Lesser General Public License v2.1LGPL-2.1

Population Forecast Prediction

Description

This project aims to forecast the population of Haggis on a particular mountain. Ecologists have collected precise recordings of the population over five years and estimates from satellite remote sensing. The primary objective is to predict the true population 12 months into the future using various machine learning and time series analysis techniques.

Methods and Technologies Used

Data Collection and Validation

  • Comparing precise recordings with satellite estimates.

Time Series Analysis

  • Identifying trends and patterns in historical data.

Machine Learning Models

  • Linear Regression
  • ARIMA (AutoRegressive Integrated Moving Average)
  • LSTM (Long Short-Term Memory) Networks

Evaluation Metrics

  • Mean Absolute Error (MAE)
  • Root Mean Square Error (RMSE)

Technologies

  • Python
  • NumPy
  • Pandas
  • Matplotlib
  • Scikit-learn

Setup and Installation

  1. Clone the repository: 
    git clone https://github.com/Vivek-Tate/Population-Forecast-Prediction.git

Contributing

Feel free to submit issues or pull requests if you have any suggestions or improvements.