Stars
69
Watch
Fork
51
Example code for Machine Learning with scikit-learn python library.
License : GNU GPL
Owner
nithyadurai87
ParaMonte has been developed while bearing the following design goals in mind: The ParaMonte library relies on three independent parallelism paradigms for parallel applications: The ParaMonte librari…
This repository presents an automated machine learning approach in Python to create a stress monitoring system with data from devices such as fitness trackers. With the rising popularity of trackers …
Welcome ################################## PyDeep is a machine learning / deep learning library with focus on unsupervised learning. The library has a modular design, is well documented and purely wr…
Welcome to the Data Science course! Over the next 50 days, you will learn a wide range of topics related to Python programming, data science, and machine learning. These topics will be covered in a v…
This repository contains tutorials on understanding and applying signal processing using NumPy and PyTorch. In order to begin the signal processing adventure, we need to understand what we are dealin…
This project aims to utilize Machine Learning and Image Processing techniques to detect/extract license plates of vehicle given an image. This module is aimed to extract features from a license plate…
These datasets also work well when testing against AutoML approaches, as it has several traps just for that use case. The generated datasets have the following properties which test the limits of ML/…
This repository is for educational purposes. While the efficiency of the code or completeness is not as good as the one you could find in a library like sklearn, the simplification of the algorithm a…
Subscribe to our newsletter