In this repository I worked with the raw dataset A Waiter's Tips available on Kaggle. First I visualized the data and then I did an EDA. After preprocessing, I created models with many models I determined and visualized the results. I showed the results of Linear Regression, which I got the best results, at the end.
Files | ||
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tips.csv | including data |
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Tips.ipynb | Notebook codes" |
- Pandas
- Numpy
- Sklearn
- Matplotlib
- Seaborn
- Xgboost
- Lightgbm