https://github.com/seoyeonpark1223/kaggle_rep

Kaggle Competitions
https://github.com/seoyeonpark1223/kaggle_rep

kaggle machine-learning

Last synced: 6 days ago
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Kaggle Competitions

• Host: GitHub
• URL: https://github.com/seoyeonpark1223/kaggle_rep
• Owner: SeoyeonPark1223
• Created: 2024-08-30T09:40:02.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-10-01T03:07:45.000Z (4 months ago)
• Last Synced: 2024-11-17T11:32:10.285Z (2 months ago)
• Topics: kaggle, machine-learning
• Language: Jupyter Notebook
• Homepage: https://www.kaggle.com/trispark
• Size: 14.1 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Kaggle_Rep

- Repository dedicated for Kaggle Study

- My Kaggle Profile 👉 [Kaggle](https://www.kaggle.com/trispark)

- Notion Page 👉 [MLB Study](https://www.notion.so/Google-MLB-e9fb1b81889b4edd9a938ea73dfca248)

## General ML Problem Solving Process

1. Understanding competition’s goal regarding problem type

    1. **Evaluation Method is important**

2. EDA (Exploratory Data Analysis)

    1. Explore given data in various shapes

    2. Visualizing data (examine critical features)

3. Baseline Model 

    1. Feature Engineering 

    2. Make a baseline model 

4. Improving Performance

    1. Apply various models to improve performance

    2. Optimize hyper parameter 

    3. If the performance is not satisfiable, go back to first and second steps