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Honestly, feature engineering is perhaps THE most important aspect of Kaggle competitions. A quick glance at previous winning solutions will show you how important feature engineering is. It’s often the difference between a top 20 percentile finish and a mid-leaderboard position. We can make new ...
About A collection of Kaggle solutions. Not very polished. Resources Readme Activity Stars 759 stars Watchers 43 watching Forks 138 forks Report repository Releases No releases published Packages No packages published Languages Python 100.0% Footer...
Thelearntoolsfolder contains a python package that provides feedback to users in Kaggle Learn courses. This package is further divided into Modules for individual courses. For example,learntools/pythonis used to check exercises in the Python course.learntools/machine_learningis used to check exercise...
The challenge is that the best course of treatment depends on the physiology of the patient, and it takes expert guidance to determine that physiology. Here’s where we hope that Machine Learning comes to the rescue. The Kaggle challenge is to develop an algorithm to determine a woman’s ...
Solutions must be new. To win the latest competitions, you’ll usually need to perform extended research, customize algorithms, train advanced models, etc. Performance must be relative. Competitions must crown a winner, so your solution will be scored against others’. “Typical” data science In...
Take a look at theHow to Win a Data Science Competition: Learn from Top Kagglerscourse in theAdvanced machine learning specializationby Kazanova(Number 3 Kaggler at the time of writing) This post is inspired by aKernelon Kaggle written by Beluga, one of the top Kagglers, for a knowledge ...
Kaggle, and its competitions, says Luca, that has led him to learn Python and leave R. But, depending on the situation, he would leverage SQL/Google BigQuery, Dask or PySpark for processing large amounts of data. When it comes to libraries, Luca mainly uses Scikit-learn and Keras/TensorFl...
I just installed kaggle using python 3 and it works:pip3 install kaggle After trying many other solutions this is the one that worked for me as well. I am running Windows 10 version 1909 and using jupyter notebooks and Python 3.7. also I installed directly into my anaconda environment. ...