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GitHub / Anubhavdevv / Awesome-Machine-Learning-Models
Contribute your amazing Machine Learning, Data Science, and Deep Learning repository
Stars: 32
Forks: 28
Open Issues: 1
License: mit
Language: Jupyter Notebook
Repo Size: 25.8 MB
Dependencies:
70
Created: over 2 years ago
Updated: 8 months ago
Last pushed: 7 months ago
Last synced: 7 months ago
Topics: data-science, hacktoberfest, hacktoberfest-accepted, hacktoberfest2022, machine-learning, python
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Dependencies
- scikit-learn ==0.24.0
- streamlit *
- eli5 ^0.10.1
- ipykernel ^5.3.4
- matplotlib ^3.3.3
- numpy ^1.19.4
- pandas ^1.1.4
- plotly ^4.14.0
- python ^3.7
- scikit-learn ^0.23.2
- scikit-optimize ^0.8.1
- seaborn ^0.11.0
- shap ^0.37.0
- xgboost ^1.2.1
- appnope 0.1.0
- attrs 20.3.0
- backcall 0.2.0
- cffi 1.14.3
- colorama 0.4.4
- cycler 0.10.0
- decorator 4.4.2
- eli5 0.10.1
- graphviz 0.15
- ipykernel 5.3.4
- ipython 7.19.0
- ipython-genutils 0.2.0
- jedi 0.17.2
- jinja2 2.11.2
- joblib 0.17.0
- jupyter-client 6.1.7
- jupyter-core 4.6.3
- kiwisolver 1.3.1
- llvmlite 0.35.0rc3
- markupsafe 1.1.1
- matplotlib 3.3.3
- numba 0.51.2
- numpy 1.19.4
- pandas 1.1.4
- parso 0.7.1
- pexpect 4.8.0
- pickleshare 0.7.5
- pillow 8.0.1
- plotly 4.14.0
- prompt-toolkit 3.0.8
- ptyprocess 0.6.0
- py 1.9.0
- pyaml 20.4.0
- pycparser 2.20
- pygments 2.7.2
- pyparsing 2.4.7
- python-dateutil 2.8.1
- pytz 2020.4
- pywin32 300
- pyyaml 5.3.1
- pyzmq 20.0.0
- retrying 1.3.3
- scikit-learn 0.23.2
- scikit-optimize 0.8.1
- scipy 1.5.4
- seaborn 0.11.0
- shap 0.37.0
- six 1.15.0
- slicer 0.0.3
- tabulate 0.8.7
- threadpoolctl 2.1.0
- tornado 6.1
- tqdm 4.54.1
- traitlets 5.0.5
- wcwidth 0.2.5
- xgboost 1.2.1