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datascience's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m Peter O. I'm a SAP TM expert who decided to turn into a data scientist.
  • ๐Ÿ‘€ Iโ€™m interested in Machine Learning and Data Science.
  • ๐ŸŒฑ Currently learning Python (Abap-debugging at work).
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on any projects in ML and DS.
  • ๐Ÿ“ซ How to reach me: TLG @Politejohn, Linkedin profile.

Projects and Other

# Project link hashtag
1 Algorithm comparison: Quick comparison of some algorithms using the Covid dataset as an example https://algocomparsion.streamlit.app/
Git
#streamlit #docker
#XGB #Catboost #LightGBM #KNN #FastApi #Spark #SQL #GCL
2 Image classification: Image classification using the Jellyfish Image Dataset as an example https://kaggle-jelly.streamlit.app/
Git
#streamlit #docker #CNN #ResNet50 #FastApi #GCL
3 Kaggle: Various Kaggle notebooks https://github.com/PeterOstr/kaggle #kaggle
4 Diploma: My diploma work from HSE https://github.com/PeterOstr/PeterOstr/tree/main/HSE_diploma #anomaly_detection
5 XG Boost: Training XG Boost hyperparameters using Optuna. Example of Decision Tree logic. https://github.com/PeterOstr/Training_XG_Boost
Decision tree example
#Decision_Trees #Optuna
6 SQL: SQL and regular expressions https://github.com/PeterOstr/suetin #SQL #Regular_expressions #Spark
7 Test Task: Test task for Data analytics position https://github.com/PeterOstr/test_task #SQL #Data_analysis
8 Test Task2: Test task for Data Science position https://github.com/PeterOstr/test_task2 #Data_science

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