Hands-On Machine Learning with TensorFlow.js

XOR classification with machinelearn.js

machinelearn.js is yet another machine learning framework running on the web platform. The primary characteristic of this framework is simplicity. machinelearn.js is originally designed to solve complicated problems by running a machine learning algorithm in a simple manner. Simplicity attracts many developers who are not familiar with machine learning. The latest version of machinelearn.js includes the following algorithms:

• Clustering:
• K-Means
• Decomposition:
• PCA
• Classification:
• Bagging
• Random forest
• Logistic regression
• SGD
• Naive Bayes
• Support vector machine
• K-nearest-neighbors
• Decision trees
• Regression:
• Lasso
• Linear regression
• Ridge
• SGD
• Model selection:
• K-fold
• Train and test split

As you can see, ...