adds lightgbm

[msjithin]

What is this Python project?

LightGBM, short for Light Gradient Boosting Machine is ideal for large-scale data projects.
Efficient Large-Scale Learning: Optimized for performance, making it suitable for large datasets and high-dimensional data.
Fast Training: Implements novel techniques like gradient-based one-side sampling and exclusive feature bundling, speeding up training times.
Lower Memory Usage: More memory-efficient than many other gradient-boosting libraries.
Parallel and GPU Learning: Supports parallel and GPU learning, enhancing its capability to handle complex tasks.
High-Performance: Delivers high performance, both in terms of speed and accuracy, for a variety of machine learning tasks.
Flexible and Versatile: Suitable for a range of applications, from regression to classification and ranking tasks.
Active Community and Development: Benefits from ongoing development and a growing community.

What's the difference between this Python project and similar ones?

1. Fast Training when compared to traditional scikit-learn Gradient boosted algos.
2. Lower Memory Usage: More memory-efficient than many other gradient-boosting libraries.
3. Parallel and GPU Learning: Supports parallel and GPU learning.

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

[ViktorGomez67]

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[Joelokon]

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