Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
@pklauke
pklauke
Follow
View pklauke's full-sized avatar

pklauke

  • Delivery Hero
  • Berlin

Block or report pklauke

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more aboutblocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more aboutreporting abuse.

Report abuse

PinnedLoading

  1. pycamundapycamundaPublic

    Python REST api client for the workflow and decision automation engine Camunda.

    Python 45 13

  2. mloptmloptPublic

    Optimization algorithms for Machine Learning problems like Hyperparameter tuning and Ensembling.

    Python 10 1

  3. Kaggle-HomeCreditDefaultRiskKaggle-HomeCreditDefaultRiskPublic

    My solution for the Home Credit Default Risk Kaggle competition. This solution uses a scheduled Denoising Autoencoder in combination with a neural net and a GBDT. It ranked 248 out of 7198 (Top 4%).

    Python 1

  4. Kaggle-TalkingDataKaggle-TalkingDataPublic

    My solution for the TalkingData AdTracking Fraud Detection Kaggle competition. This solution uses a GBDT and a Field-Aware Factorization machine. It ranked 197 out of 3967 (Top 5%).

    Jupyter Notebook 1

  5. Kaggle-PortoSeguroSafeDriverPredictionKaggle-PortoSeguroSafeDriverPredictionPublic

    My solution for the Kaggle competition Porto Seguro Safe Driver Prediction. This solution uses an Ensemble of different algorithms and ranked 138 out of 5169 (Top 3%).

    Jupyter Notebook 1 1

  6. Kaggle-NYCTaxiKaggle-NYCTaxiPublic

    My solution for the Kaggle competition New York City Taxi Trip Duration. This solution uses the gradient boosted Decision Tree library LightGBM and ranked 49 out of 1257 (Top 4%).

    Jupyter Notebook


[8]ページ先頭

©2009-2025 Movatter.jp