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README.md

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@@ -3,3 +3,7 @@ In this project, I try to get high scores in kaggle competition by predicting th
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I want to share my code that mainly focuses on feature engineering. With this code I was able to achieve ~0.8 score, and with this score I got my position as 1633th best score over 15532 submissions, which puts me in best 10%. What I did here can definitely be improved, and I will update here whenever I obtain better results. Thank you.
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For the code: 'titanicprocessing', I put some comments for every function, parameter, model, etc. to make everything as simple as possible in terms of understanding and following it line by line. Please keep me noticed if you find anything confusing or unclear.
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Here is the heatmap figure of training data:
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![Seaborn Heatmap of the Training data]()

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