深圳开放数据应用创新大赛数据分析赛·视频水质分析

Who this competition fits

Intermediate learners who want to deepen their skills in tabular data and feature engineering. Good for building practical experience with real-world data.

From registration to a first submission

1. 01

   Python

2. 02

   pandas and data manipulation

3. 03

   gradient boosting (XGBoost/LightGBM)

4. 04

   cross-validation

Before you commit: Requires solid feature engineering and model selection skills.