Improve documentation homepage with quick example and clearer feature overview

[vinitjain2005]

Description

The documentation homepage in docs/source/index.rst provides a good overview of PyTorch Forecasting, but it could be improved to make onboarding easier for new users.

Currently, the page explains the library but does not include a quick usage example or a clear feature overview. Adding these sections would help users understand the library faster and improve the overall documentation experience.

Proposed Improvements

1. Add a Quick Example section

   • Include a minimal code snippet showing how to create a dataset and train a model.

2. Add a Feature Highlights section

   • Clearly summarize key capabilities such as:

     • TimeSeriesDataSet abstraction
     • Built-in neural forecasting models
     • Hyperparameter tuning with Optuna
     • Visualization and interpretation tools.

3. Minor wording improvements

   • Replace occurrences of timeseries with time series for consistency with standard terminology.

4. Add a short model overview

   • Mention major models supported by the library (e.g., Temporal Fusion Transformer, NHiTS, NBeats).

Benefits

• Improves onboarding for new users
• Makes documentation more informative
• Aligns the homepage with common documentation standards used in ML libraries

File Location

docs/source/index.rst

I would be happy to work on this improvement and submit a PR if maintainers agree with the proposal.

Please assign these task to me so that i can start conributions. @phoeenniixx