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Title: GitHub - DataScienceWorks/AV-EnigmaCodeFest-PredictUpvotes: AV's Enigma CodedFest Best Question Author - Predict Upvotes · GitHub

Open Graph Title: GitHub - DataScienceWorks/AV-EnigmaCodeFest-PredictUpvotes: AV's Enigma CodedFest Best Question Author - Predict Upvotes

X Title: GitHub - DataScienceWorks/AV-EnigmaCodeFest-PredictUpvotes: AV's Enigma CodedFest Best Question Author - Predict Upvotes

Description: AV's Enigma CodedFest Best Question Author - Predict Upvotes - DataScienceWorks/AV-EnigmaCodeFest-PredictUpvotes

Open Graph Description: AV's Enigma CodedFest Best Question Author - Predict Upvotes - DataScienceWorks/AV-EnigmaCodeFest-PredictUpvotes

X Description: AV's Enigma CodedFest Best Question Author - Predict Upvotes - DataScienceWorks/AV-EnigmaCodeFest-PredictUpvotes

Opengraph URL: https://github.com/DataScienceWorks/AV-EnigmaCodeFest-PredictUpvotes

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	https://github.com/DataScienceWorks/AV-EnigmaCodeFest-PredictUpvotes#best-question-author-prediction---enigma-codefest---analytics-vidya
https://datahack.analyticsvidhya.com/contest/enigma-codefest-machine-learning/	https://datahack.analyticsvidhya.com/contest/enigma-codefest-machine-learning/
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	https://github.com/DataScienceWorks/AV-EnigmaCodeFest-PredictUpvotes#overview
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	https://github.com/DataScienceWorks/AV-EnigmaCodeFest-PredictUpvotes#references
A Complete Tutorial to Learn Data Science with Python from Scratch	https://www.analyticsvidhya.com/blog/2016/01/complete-tutorial-learn-data-science-python-scratch-2/
Pipelines, FeatureUnions, GridSearchCV, and Custom Transformers	https://blog.pursuitofzen.com/pipelines-featureunions-gridsearchcv-and-custom-transformers/
A new categorical encoder for handling categorical features in scikit-learn	https://jorisvandenbossche.github.io/blog/2017/11/20/categorical-encoder/
Feature Union with Heterogeneous Data Sources	http://scikit-learn.org/stable/auto_examples/hetero_feature_union.html
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Github -- kennethclitton/Kaggle-College-Students-on-Loans	https://github.com/kennethclitton/Kaggle-College-Students-on-Loans/blob/master/regression_challenge.py
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scikit-learn Doc - PCA example with Iris Data-set	http://scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html
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ML-Ensemble: Scikit-learn style ensemble learningflennerhag	https://www.kaggle.com/flennerhag/ml-ensemble-scikit-learn-style-ensemble-learning
StackOverflow - Ensemble of different kinds of regressors using scikit-learn (or any other python framework)	https://stackoverflow.com/questions/28727709/ensemble-of-different-kinds-of-regressors-using-scikit-learn-or-any-other-pytho
mlxtend - StackingRegressor	http://rasbt.github.io/mlxtend/user_guide/regressor/StackingRegressor/
scikit-learn Doc - Decision Tree Regression with AdaBoost	http://scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_regression.html#sphx-glr-auto-examples-ensemble-plot-adaboost-regression-py
Boosting and Bagging: How To Develop A Robust Machine Learning Algorithm	https://hackernoon.com/how-to-develop-a-robust-algorithm-c38e08f32201
Kaggle -- GridSearchCV + XGBRegressor (0.556+ LB)	https://www.kaggle.com/omarito/gridsearchcv-xgbregressor-0-556-lb
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