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$$logloss(theta) = - {1 over m} sum_{i=1}^m (y_i ln(hat p(y_i=1)) + (1-y_i) ln(1-hat p(y_i=1)))$$
Linear Regression Multiple Regression Polynomial Regression Decision Tree Logistic Regression K Nearest Neighbor Naive Bayes Random Forest Support Vector Machines Principal Component Analysis Linear Discriminant Analysis K Means Clustering Hierarchical Clustering
tensorflow jupyter): Download the training zip file from drive, extract it docker run --rm -it -e JUPYTER_ENABLE_LAB=yes -p 8888:8888 -v /Users/foo/Learn/python/training:/home/jovyan/ jupyter/tensorflow-notebook:latest
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