Erlemar/Erlemar.github.io

Data science portfolio

41
/ 100
Emerging

Combines Jupyter notebooks demonstrating ML algorithms and competition solutions with interactive stand-alone projects: a digit recognition web app using FNNs and CNNs with user-driven retraining, and a Telegram chatbot applying NLP classification. Covers diverse problem types—tabular data, multimodal inputs (text + images), time series, and sentiment analysis—using gradient boosting (LightGBM, XGBoost) and neural architectures (LSTM-CNN) across Kaggle competitions and custom explorations.

367 stars. No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 23 / 25

How are scores calculated?

Stars

367

Forks

80

Language

Jupyter Notebook

License

—

Category

personal-portfolio-showcases

Last pushed

Aug 28, 2021

Commits (30d)

0

GitHub
Personal Portfolio Showcases · 96 frameworks

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