- 👋 Hi, I’m Peter O. I'm a SAP TM expert who decided to turn into a data scientist.
- 👀 I’m interested in Machine Learning and Data Science.
- 🌱 Currently learning Python (Abap-debugging at work).
- 💞️ I’m looking to collaborate on any projects in ML and DS.
- 📫 How to reach me: TLG @Politejohn, Linkedin profile.
# | 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 |