supervised-learning topic

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

AFAgarap

:speedboat: Label data at scale. Fun and precision included.

phurwicz

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fu...

giacbrd

Learning to Cluster. A deep clustering strategy.

GT-RIPL

Free Resources For Data Science created by Shubham Kumar

frontbenchHQ

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

AFAgarap

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

AFAgarap

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

snrazavi

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's ea...

jaswinder9051998

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

csinva