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Machine-Learning-Projects
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ai_search
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dnn classifier
dnn classifier
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pre trained models
pre trained models
random_forest_explained
random_forest_explained
.gitattributes
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.gitignore
.gitignore
Article Work.ipynb
Article Work.ipynb
Automated Feature Engineering Advanced.ipynb
Automated Feature Engineering Advanced.ipynb
Automated Feature Engineering Basic.ipynb
Automated Feature Engineering Basic.ipynb
Differing Labels.png
Differing Labels.png
Feature Selection.ipynb
Feature Selection.ipynb
Model Selection.ipynb
Model Selection.ipynb
README.md
README.md
Random Forest Tutorial.ipynb
Random Forest Tutorial.ipynb
algorithm_comparison.png
algorithm_comparison.png
average_sub.csv
average_sub.csv
feature_relevance.csv
feature_relevance.csv
gbm_submission.csv
gbm_submission.csv
hyperparameter_improvement.png
hyperparameter_improvement.png
intro_to_model_tuning.ipynb
intro_to_model_tuning.ipynb
introduction_to_manual_feature_engineering_part_one.ipynb
introduction_to_manual_feature_engineering_part_one.ipynb
label_encoding.png
label_encoding.png
lgb_gbm_submission.csv
lgb_gbm_submission.csv
manual_feature_engineering_part_1.ipynb
manual_feature_engineering_part_1.ipynb
manual_feature_engineering_part_2.ipynb
manual_feature_engineering_part_2.ipynb
olson.pdf
olson.pdf
one_hot_encoding.png
one_hot_encoding.png
tpe_bayesian.PNG
tpe_bayesian.PNG
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