GSoC Project 2022 - TensorFlow

⚡Details

• Year: 2022
• Organisation: TensorFlow
• Project Title: Develop Kaggle examples for TensorFlow Decision Forests
• Project Description: Today, many Kaggle competitions are dominated by libraries such as LightGBM and XGBoost, which provide high-performance results on a variety of datasets. TensorFlow Decision Forests (TF-DF) is a collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models. In this project, I have introduced a series of beginner and intermediate examples that demonstrates the use of TensorFlow Decision Forests on various datasets.
• Mentor: Miri B. (Hyman) Raskasky

🎯Contributions

Description	Status
Kaggle example - Intermediate classification	Completed
Kaggle example - Beginner classification	Completed
Kaggle example - Beginner regression	Completed
Kaggle example - Intermediate regression	Completed

Contributions apart from my project:

Link	Description
PR #134	Documentation Changes
Notebook	[Non Kaggle example] - Classification with TF-DF

😄Acknowledgement

My Google Summer of Code Experience was awesome and a large part of this great experience was the good mentoring of Miri B. (Hyman) Raskasky.

I thank her for the constant guidance, code reviews, timely feedback, help and most importantly, for her dedicated advice and encouragement throughout GSoC. I would love to contribute more to TensorFlow.

🔗Links