scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
BlocklyML is a simple visual programming Tool for python and ML. 🧩 🖥️
Repository for Disease Progression Modeling workbench 360 - An end-to-end deep learning model training framework in python on OMOP data
This project automates bank credit risk assessment using AI and machine learning models to predict loan defaults. It streamlines the credit process with predictive analytics, model evaluation, explainability (SHAP), and deployment readiness.
A stock market analysis tool that values buy-and-hold stocks more than trading stocks
A machine learning experiment for predicting Pull Requests acceptance rate
Some files for the 2019 Remote Sensing course for the MSc in Hydrogeology and Geothermics programme @ Uni Neuchâtel.
CareX is a comprehensive web app designed to empower you to take charge of your well-being, focusing on aspects that you can actively control. It supports both physical and mental health by providing personalized guidance on balanced nutrition and in-home yoga practices to help you rediscover inner peace.
Dedicated farmer website with features including crop bidding, optimum crop prediction and more.
Shale-Reservoir-DNN and Drilling-Rare-Events-Graph
a simple machine learning system demo(cluster and predict on iris data), for ML study.
Your one-stop for developing automated machine learning pipelines!
Model Evaluation is the process through which we quantify the quality of a system’s predictions. To do this, we measure the newly trained model performance on a new and independent dataset. This model will compare labeled data with it’s own predictions.
Stock Market Analysis (5th Inter-IIT Tech Meet), IIT Mandi
A job recommender System to match between job seekers and job offers
Created by David Cournapeau
Released January 05, 2010
Latest release 10 days ago
