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This post heavily relies on Will Koehrsen's public codes on Home Credit Default Risk Competition. https://www.kaggle.com/code/willkoehrsen/start-here-a-gentle-introductionhttps://www.kaggle.com/code/willkoehrsen/introduction-to-manual-feature-engineering  Above 2 posts are the first 2 public codes(kernels) on this competition written by Koehrsen and they are reviewed from my previous post:  [Kag..

Fourth Competition following Yuhan Lee's curriculum. Binary classification competition using image data. Statoil/C-CORE Iceberg Classifier ChallengeShip or iceberg, can you decide from space?www.kaggle.comFirst Kernel: Keras Model for Beginners (0.210 on LB)+EDA+R&DEDA + basic modelingUsing Keras which makes building deep neural networks very easy.Basic conv net model.Insights/Summary:1. Calcula..

Third Competition following Yuhan Lee's kaggle curriculum. Binary classification competition using tabular data. First KernelGeneral EDA kernel. Insights/Summary:1. This kernel's eda was processed by this order:target column(binary var) analysisMissing values examinationdata type checkingunique classes checking for object(categorical) columnsencoding categorical columnsanomalies detectioncheckin..

My goal is to be a ranker in Kaggle community and I want to be somekind of running mate with readers of my blog. So I am planning to write some posts like this that records how I am studying.  As of 2024.10.25, I have some background knowledge about data science because I took some undergraduate courses and studied for about 1 or 2 month before. So, I just started to compete in kaggle instead of..