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Probabilistic-Weather-Forecasting

Building and Evaluating Baseline Probabilistic Climatology Model Overview: This repository contains the code and resources for building and evaluating a Baseline Probabilistic Climatology Model for weather forecasting. Weather forecasting is a crucial application of machine learning and data science, and probabilistic models play a vital role in understanding and quantifying uncertainty in weather predictions.

Project Goals: The primary objectives of this project are as follows:

Model Development: Develop a Baseline Probabilistic Climatology Model using machine learning techniques. This model will provide probabilistic weather forecasts, taking into account uncertainty in weather predictions.

Evaluation: Evaluate the performance of the model using appropriate metrics and datasets. Understanding the accuracy and reliability of probabilistic forecasts is essential for practical applications.

Documentation: Provide clear documentation, code, and resources to assist others in understanding and replicating the work.

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