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r_markdown_demo
r_markdown_demo
 
 
sequential_data_processing
sequential_data_processing
 
 
.gitignore
.gitignore
 
 
LARS.ipynb
LARS.ipynb
 
 
LARS.py
LARS.py
 
 
README.md
README.md
 
 
_config.yml
_config.yml
 
 
encoding_categorical_features.ipynb
encoding_categorical_features.ipynb
 
 
estimator_list.ipynb
estimator_list.ipynb
 
 
model_stacking.ipynb
model_stacking.ipynb
 
 
nltk_tips.ipynb
nltk_tips.ipynb
 
 
numpy_newaxis.ipynb
numpy_newaxis.ipynb
 
 
numpy_newaxis.py
numpy_newaxis.py
 
 
numpy_tips.ipynb
numpy_tips.ipynb
 
 
numpy_tips.py
numpy_tips.py
 
 
pandas_tips.ipynb
pandas_tips.ipynb
 
 
plotting.ipynb
plotting.ipynb
 
 
plotting.py
plotting.py
 
 
python_tips.ipynb
python_tips.ipynb
 
 
python_tips.py
python_tips.py
 
 
remove_overlap_between_intervals.sql
remove_overlap_between_intervals.sql
 
 
rpy2_demo.ipynb
rpy2_demo.ipynb
 
 
rpy2_demo.py
rpy2_demo.py
 
 
scikit_learn_build_estimators.ipynb
scikit_learn_build_estimators.ipynb
 
 
scikit_learn_build_estimators.py
scikit_learn_build_estimators.py
 
 
scikit_learn_feature_extraction_text.ipynb
scikit_learn_feature_extraction_text.ipynb
 
 
scikit_learn_metrics.ipynb
scikit_learn_metrics.ipynb
 
 
scikit_learn_metrics.py
scikit_learn_metrics.py
 
 
scikit_learn_save_model.ipynb
scikit_learn_save_model.ipynb
 
 
scikit_learn_save_model.py
scikit_learn_save_model.py
 
 
scikit_learn_tutorials.ipynb
scikit_learn_tutorials.ipynb
 
 
scikit_learn_user_guide.ipynb
scikit_learn_user_guide.ipynb
 
 
scikit_learn_user_guide.py
scikit_learn_user_guide.py
 
 
scikit_learn_validation_curve.ipynb
scikit_learn_validation_curve.ipynb
 
 
scipy_tips.ipynb
scipy_tips.ipynb
 
 
xgboost_early_stopping.ipynb
xgboost_early_stopping.ipynb
 
 
xgboost_early_stopping.py
xgboost_early_stopping.py
 
 
xgboost_paper.ipynb
xgboost_paper.ipynb
 
 
xgboost_parallel.ipynb
xgboost_parallel.ipynb
 
 
xgboost_parallel.py
xgboost_parallel.py
 
 
xgboost_tutorial.ipynb
xgboost_tutorial.ipynb
 
 
xgboost_tutorial.py
xgboost_tutorial.py
 
 
xgboost_visual_explanation.ipynb
xgboost_visual_explanation.ipynb
 
 
xgboost_visual_explanation.py
xgboost_visual_explanation.py
 
 
xgboost_xgbfi.ipynb
xgboost_xgbfi.ipynb
 
 
xgboost_xgbfi.py
xgboost_xgbfi.py
 
 

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Tutorials, demos, and tests on using software to solve data science problems.

yang-zhang.github.io/code-data-science/

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python data-science numpy sklearn keras pandas xgboost

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