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https://github.com/snowch-notes/machine-learning#ml-process
https://www.coursera.org/learn/machine-learning-projects/lecture/FRvQe/orthogonalizationhttps://www.coursera.org/learn/machine-learning-projects/lecture/FRvQe/orthogonalization
https://github.com/snowch-notes/machine-learning#feature-engineering
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https://github.com/snowch-notes/machine-learning#examples
https://github.com/snowch-notes/machine-learning#missing-data-imputation
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https://github.com/snowch-notes/machine-learning#ml-algorithms
https://github.com/snowch-notes/machine-learning#terminology
Cross Validationhttps://en.m.wikipedia.org/wiki/Cross-validation_(statistics)
Youtube Introhttps://youtu.be/TIgfjmp-4BA
https://en.wikipedia.org/wiki/Precision_and_recallhttps://en.wikipedia.org/wiki/Precision_and_recall
http://scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.htmlhttp://scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html
Sourcehttps://www.quora.com/Why-is-the-0-1-indicator-function-a-poor-choice-for-loss-function
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https://en.m.wikipedia.org/wiki/Maxima_and_minimahttps://en.m.wikipedia.org/wiki/Maxima_and_minima
https://en.m.wikipedia.org/wiki/Mathematical_optimizationhttps://en.m.wikipedia.org/wiki/Mathematical_optimization
http://www.mash.dept.shef.ac.uk/Resources/c6_minma.pdfhttp://www.mash.dept.shef.ac.uk/Resources/c6_minma.pdf
https://en.m.wikipedia.org/wiki/Cost_functionhttps://en.m.wikipedia.org/wiki/Cost_function
https://en.m.wikipedia.org/wiki/Loss_functionhttps://en.m.wikipedia.org/wiki/Loss_function
http://ml-cheatsheet.readthedocs.io/en/latest/linear_regression.html#cost-functionhttp://ml-cheatsheet.readthedocs.io/en/latest/linear_regression.html#cost-function
https://en.m.wikipedia.org/wiki/Gradient_descenthttps://en.m.wikipedia.org/wiki/Gradient_descent
http://ruder.io/optimizing-gradient-descent/http://ruder.io/optimizing-gradient-descent/
Sourcehttps://www.quora.com/What-is-the-difference-between-L1-and-L2-regularization-How-does-it-solve-the-problem-of-overfitting-Which-regularizer-to-use-and-when
Sourcehttps://en.wikipedia.org/wiki/Generalized_linear_model#Link_function
bloghttp://blog.minitab.com/blog/adventures-in-statistics-2/multiple-regession-analysis-use-adjusted-r-squared-and-predicted-r-squared-to-include-the-correct-number-of-variables
[Example]https://matplotlib.org/examples/mplot3d/surface3d_demo.html
[Source]http://www.itl.nist.gov/div898/handbook/eda/section3/contour.htm
[Example]https://matplotlib.org/examples/pylab_examples/contour_demo.html
[Source]https://en.wikipedia.org/wiki/Random_forest
[Source]https://en.wikipedia.org/wiki/Gradient_boosting
https://github.com/snowch-notes/machine-learning#loss-function
Sourcehttps://stats.stackexchange.com/questions/284028/0-1-loss-function-explanation
abovehttps://github.com/snowch-notes/machine-learning/blob/master/GENERAL.md#terminology
Sourcehttps://www.quora.com/Why-is-the-0-1-indicator-function-a-poor-choice-for-loss-function
http://scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.htmlhttp://scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html
https://github.com/snowch-notes/machine-learning#gradient-descent
http://ml-cheatsheet.readthedocs.io/en/latest/gradient_descent.htmlhttp://ml-cheatsheet.readthedocs.io/en/latest/gradient_descent.html
https://www.coursera.org/learn/machine-learning/supplement/2GnUg/gradient-descenthttps://www.coursera.org/learn/machine-learning/supplement/2GnUg/gradient-descent
Code Examplehttps://github.com/snowch-notes/machine-learning/blob/master/GradientDescentExample.ipynb
GradientDescentExamplehttps://github.com/mattnedrich/GradientDescentExample
scikit-learn examplehttps://datascience.stackexchange.com/questions/28411/how-to-plot-cost-versus-number-of-iterations-in-scikit-learn
https://github.com/snowch-notes/machine-learning#how-to-choose
https://github.com/snowch-notes/machine-learning/blob/master/images/FB184B82-A8A0-43F9-AC19-E0F1D678CC1D.png
https://github.com/snowch-notes/machine-learning#regression
https://github.com/snowch-notes/machine-learning#linear
http://ml-cheatsheet.readthedocs.io/en/latest/linear_regression.html#cost-functionhttp://ml-cheatsheet.readthedocs.io/en/latest/linear_regression.html#cost-function
http://ml-cheatsheet.readthedocs.io/en/latest/linear_regression.htmlhttp://ml-cheatsheet.readthedocs.io/en/latest/linear_regression.html
normal equationshttp://mlwiki.org/index.php/Normal_Equation#Normal_Equation
scales betterhttps://stackoverflow.com/a/18194919/1033422
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scikit-learn LinearRegressionhttp://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html#sklearn.linear_model.LinearRegression
pinvhttps://www.gnu.org/software/octave/doc/v4.2.1/Basic-Matrix-Functions.html#index-pinv
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https://github.com/snowch-notes/machine-learning#classification
https://github.com/snowch-notes/machine-learning#knn
KNeighborsClassifier.scorehttp://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html#sklearn.neighbors.KNeighborsClassifier.score
https://github.com/snowch-notes/machine-learning#logistic-regression
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https://beckernick.github.io/logistic-regression-from-scratch/https://beckernick.github.io/logistic-regression-from-scratch/
https://github.com/snowch-notes/machine-learning#kernel-methods-svm
https://github.com/snowch-notes/machine-learning#decision-trees
https://github.com/snowch-notes/machine-learning#time-series
https://www.safaribooksonline.com/library/view/machine-learning-for/9781492025504/https://www.safaribooksonline.com/library/view/machine-learning-for/9781492025504/
https://github.com/snowch-notes/machine-learning#deep-learning
http://neuralnetworksanddeeplearning.com/index.htmlhttp://neuralnetworksanddeeplearning.com/index.html
https://beckernick.github.io/neural-network-scratch/https://beckernick.github.io/neural-network-scratch/
https://github.com/snowch-notes/machine-learning#kaggle
https://github.com/snowch-notes/machine-learning#testing-tdd-ml
Scikit learnhttp://scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html
R2https://en.m.wikipedia.org/wiki/Coefficient_of_determination
See Classification Metricshttps://github.com/snowch-notes/machine-learning#classification-metrics
Accuracy, Precision, Recall or F1?https://towardsdatascience.com/accuracy-precision-recall-or-f1-331fb37c5cb9
An_introduction_to_ROC_analysishttps://people.inf.elte.hu/kiss/13dwhdm/roc.pdf
notebookhttps://github.com/snowch-notes/machine-learning/blob/master/TomFawcett_An_introduction_to_ROC_analysis.ipynb
https://en.m.wikipedia.org/wiki/Receiver_operating_characteristichttps://en.m.wikipedia.org/wiki/Receiver_operating_characteristic
scikit learn examplehttp://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html
Performance measures in Azure MLhttps://blogs.msdn.microsoft.com/andreasderuiter/2015/02/09/performance-measures-in-azure-ml-accuracy-precision-recall-and-f1-score/
ROC plots and the AUC measurehttps://blogs.msdn.microsoft.com/andreasderuiter/2015/02/09/using-roc-plots-and-the-auc-measure-in-azure-ml/
Setting the threshold of a binary learning modelhttps://blogs.msdn.microsoft.com/andreasderuiter/2015/02/10/setting-the-threshold-of-a-binary-learning-model-in-azure-ml/
Confusion matrixhttps://en.m.wikipedia.org/wiki/Confusion_matrix
https://github.com/snowch-notes/machine-learning#classification-metrics
https://github.com/snowch-notes/machine-learning/blob/master/images/classification_metrics.png
https://en.wikipedia.org/wiki/Precision_and_recall#Definition_(classification_context)https://en.wikipedia.org/wiki/Precision_and_recall#Definition_(classification_context)
https://github.com/snowch-notes/machine-learning/blob/master/images/E01BB399-5A8F-4C7F-A67F-3832E577E13D.png
https://towardsdatascience.com/understanding-auc-roc-curve-68b2303cc9c5https://towardsdatascience.com/understanding-auc-roc-curve-68b2303cc9c5
https://github.com/snowch-notes/machine-learning#scikit-learn---model-evaluation
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http://scikit-learn.org/stable/modules/classes.html#sklearn-metrics-metricshttp://scikit-learn.org/stable/modules/classes.html#sklearn-metrics-metrics
https://machinelearningmastery.com/compare-machine-learning-algorithms-python-scikit-learn/https://machinelearningmastery.com/compare-machine-learning-algorithms-python-scikit-learn/
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