Added Darts: A Time Series Forecasting Library

[rfeverts]

This pull request adds Darts, a Python library for time series forecasting, to the Machine Learning section of the Awesome Python list.

Why Darts?

• Darts provides an intuitive and flexible API for time series forecasting.
• Supports both traditional models (ARIMA, Exponential Smoothing) and advanced deep learning methods (RNNs, Transformers).
• Enables seamless integration with pandas, simplifying time series data manipulation.

Key Features

• Combines statistical and deep learning approaches for forecasting.
• Built-in tools for backtesting, benchmarking, and visualizing models.
• Pre-trained models included for quick deployment and experimentation.
• Darts is a valuable addition to the Machine Learning section, catering to practitioners and researchers working on time series problems.

Anyone who agrees with this pull request could submit an Approve review to it.

Example usage:
Example fitting a model.txt
Example importing and preparing Data.txt

References
Darts Documentation
Pandas Documentation