$$logloss(theta) = - {1 over m} sum_{i=1}^m (y_i ln(hat p(y_i=1)) + (1-y_i) ln(1-hat p(y_i=1)))$$
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
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
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
