A Comprehensive Guide to Understand and Implement Text Classification in Python
emlearn is an open-source machine learning inference engine designed for microcontrollers and embedded devices. It supports various machine learning models for classification, regression, unsupervised learning, and feature extraction. The engine is portable, with a single header file include, and uses C99 code and static memory allocation. Users can train models in Python and convert them to C code for inference.
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