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An in-depth data science analysis of Olympic athlete performance. Building an ML pipeline to predict medal outcomes. Featuring data exploration, feature engineering, and model performance evaluation.

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mfebykhoirusidqi/Predictions_medals_olimpic_athletes

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Predictions_medals_olimpic_athletes

Explanation

1. Call data with pandas

Screenshot (70)

2. Find correlation data between variable

Note in the graph that the number of athletes is correlated with medals rather than age

Screenshot (71) athletes_medals_correlation age_medals_correlation

Histogram medals

histogram_medals

3. Data cleaning

Screenshot (72)

4. Train Model

Screenshot (73)

5. Prediction results are entered into new data

Screenshot (74)

6. Mean Absolut Error

Screenshot (75)

I think this model have good prediction and we can add in more predictors

I think we can try defferent model for prediction

Thank u all

code is life

Muhammad Feby Khoiru Sidqi

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An in-depth data science analysis of Olympic athlete performance. Building an ML pipeline to predict medal outcomes. Featuring data exploration, feature engineering, and model performance evaluation.

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