Pytorch code for multi-Instance multi-label problem

Light js package to compute several data science formulas

Developed phase recognition models based on MobileNetV2 to classify frames from Hernia surgery videos.

2020 seoul bigdata competition

Build a machine model to predict whether the freshwater is safe to drink or not.Based on the measures like pH, TDS, etc.

Machine learning projects done for micro credential in data science course

Develop a technology for detecting mining sites using images from the optical satellite Sentinel-2. Specifically, it involves classifying images that contain mining sites and those that do not.

This notebook shows how the f1 metric differs accuracy on imbalanced data. The heart disease dataset from kaggle is used (https://www.kaggle.com/datasets/kamilpytlak/personal-key-indicators-of-heart-disease).