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+ Estimating Box-Cox power transformation parameter via goodness of fit tests
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+ https://arxiv.org/pdf/1401.3812.pdf
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+ Linear Regression
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+ https://deeplearningcourses.com/c/data-science-linear-regression-in-python/
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+ Logistic Regression
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+ https://deeplearningcourses.com/c/data-science-logistic-regression-in-python/
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+ Support Vector Machines
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+ https://deeplearningcourses.com/c/support-vector-machines-in-python
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+ Random Forests
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+ https://deeplearningcourses.com/c/machine-learning-in-python-random-forest-adaboost
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+ Deep Learning and Tensorflow 2
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+ https://deeplearningcourses.com/c/deep-learning-tensorflow-2
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+ Gaussian Processes for Regression and Classification
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+ https://www.cs.toronto.edu/~radford/ftp/val6gp.pdf
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+ How Does Backpropagation Work?
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+ https://deeplearningcourses.com/c/data-science-deep-learning-in-python/
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+ https://deeplearningcourses.com/c/data-science-deep-learning-in-theano-tensorflow/
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