references.txt

“I hereby confirm that this submission is my work. I have cited above the origins of any parts of the submission that were taken from Websites, books, forums, blog posts, github repositories, etc."  Citations follow:

- Adaboost Youtube Explanation: "https://www.youtube.com/watch?v=ix6IvwbVpw0"

- Adaboost Wikipedia: "https://en.wikipedia.org/wiki/AdaBoost" 

- Cross Validated, Should feature selection be performed on all data?: http://stats.stackexchange.com/questions/64825/should-feature-selection-be-performed-only-on-training-data-or-all-data 

- Cross Validated, When should I apply feature scaling for my data: http://stats.stackexchange.com/questions/121886/when-should-i-apply-feature-scaling-for-my-data

- Cross Validated, Understanding stratified cross validation: http://stats.stackexchange.com/questions/49540/understanding-stratified-cross-validation

- Enron Visualizer : https://public.tableau.com/profile/diego2420#!/vizhome/Udacity/UdacityDashboard

- Feature Selection For Machine Learning in Python: http://machinelearningmastery.com/feature-selection-machine-learning-python/

- GitHub Repository of martin-martin's final project: https://github.com/martin-martin/smartest_algorithm

- Grid Searching in All the Right Places: http://abshinn.github.io/python/sklearn/2014/06/08/grid-searching-in-all-the-right-places/

- K-Nearest Neighbors for Machine Learning: http://machinelearningmastery.com/k-nearest-neighbors-for-machine-learning/

- kNN Youtube Explanation: "https://www.youtube.com/watch?v=4ObVzTuFivY

- Stack Overflow, how to sort a dictionary: http://stackoverflow.com/questions/613183/sort-a-python-dictionary-by-value

- Stack Overflow, how a pipeline works: http://stackoverflow.com/questions/33091376/python-what-is-exactly-sklearn-pipeline-pipeline

- The importance of preprocessing in data science and the machine learning pipeline I: centering, scaling and k-Nearest Neighbours: https://www.datacamp.com/community/tutorials/the-importance-of-preprocessing-in-data-science-and-the-machine-learning-pipeline-i-centering-scaling-and-k-nearest-neighbours#gs.BhYHnPE

- Udacity Forum Discussion, "Different scores results between testers and my result": https://discussions.udacity.com/t/different-scores-result-between-testers-and-my-result/31454/9

- Udacity Forum Discussion, "Getting started with the final project": https://discussions.udacity.com/t/getting-started-with-final-project/170846/22

- Udacity Forum Discussion, "GridSearchCV and Testing/Training Data": https://discussions.udacity.com/t/gridsearchcv-and-testingtraining-data/36107/19

- Udacity Forum Discussion, "How to find out the features selected by selectkbest": https://discussions.udacity.com/t/how-to-find-out-the-features-selected-by-selectkbest/45118/12

-Visual Diagnostics for More Informed Machine Learning: Part 3: http://blog.districtdatalabs.com/visual-diagnostics-for-more-informed-machine-learning-part-3

- Workflows in Python: Using Pipeline and GridSearchCV for More Compact and Comprehensive Code: https://civisanalytics.com/blog/data-science/2016/01/06/workflows-python-using-pipeline-gridsearchcv-for-compact-code/