* Update learning.py

* Update test_learning.py

* added overview for AdaBoost

* added implementation for AdaBoost

* added example for AdaBoost

* added tests for AdaBoost

* rephrased sentences

* final changes to AdaBoost

* changed adaboost tests to use grade_learner

* grammar check

* add failure_test method to utils

* comment fix

* Update test_learning.py

* Update test_csp.py

* add a simple naive bayes classifier

* Update test_learning.py

* spacing

* minor fix

* lists to strings

* Fixed truncated_svd

* Moved SVD algorithm to learning.py

* Minor fixes

* Typo fix

* Update test_learning.py

* Update learning.py

* DataFile Update

* Update learning.py

* Update search.py

* Update test_learning.py

* Update test_text.py

* Add files via upload

* Update text.ipynb

* Update search-4e.ipynb

* Create CONTRIBUTING.md

* Create function to initialize random weights

* Add sigmoid derivative function

* Update learning.ipynb

* Update test_learning.py

* Resolve conflicts

* Add Gaussian Function

* Added Tests

Add tests for Continuous Naive Bayes + Means/Standard Deviation

* Update learning.py

* Commenting Fix

* Add test for gaussian

* test for every class

* Update test_learning.py

* Round float results to make sure test passes

* Update learning.py

* Update test_learning.py

* Update test_learning.py

* Add grade_learner

* Update test_learning.py

* Update test_learning.py

* Update learning.py

* set max_score to -1 (for now)

* Update learning.py

* Make find_max more pythonic

* Update learning.py

* Add Euclidean Distance

* Update learning.ipynb

* minor fix in notebook

* minor spacing in learning.py

* Added Euclidean Test

* Bugfixing

* Test for "exclude"

* Update test_learning.py

* update_values

Add DecisionTreeLearner, NeuralNetLearner and PerceptronLearner tests

* Add flake8 config file

* Fix flake8 for test files

- Added tests for PluralityLearner, NaiveBayes and kNN algorithms

- Replace parse_csv with non-trivial input