Topic: "model-based-machine-learning"
josemateosramos/SSLISAC
Semi-Supervised End-to-End Learning for Integrated Sensing and Communications
Language: Python - Size: 137 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 2
karthik-d/bayesian-inference-ml-with-PyStan
Probabilistic modeling through Bayesian inference using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.
Language: Python - Size: 437 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0
DalyaLami/credit-risk-classification
Use various techniques to train and evaluate a model based on loan risk. I’ll use a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
Language: Jupyter Notebook - Size: 527 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
CaptainE/How-much-did-it-rain
A model based ML approach for the kaggle challenge how much did it rain
Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0
