Ashimeon

Classification-Employee-Turnover-Prediction

This repository aims to comprehensively grasp binary classification models. It focuses on predicting employee retention using diverse parameters through various classification techniques.

DATA-SCIENCE

Forest_Fire_Area_Prediction

The goal of this challenging regression challenge is to forecast the burnt area of forest fires in Portugal's northeast region using meteorological and other data.

Image_Segmentation

- Unet model and combine with transfer learning from VGG-16 - Data is trained on in-built dataset: "Oxford_iiit_pet" - Perfrom both sementic, instance and phenoptic segmentation

The-Data-Science-Learning-Hub

Data Science

Ashimeon/Classification-Employee-Turnover-Prediction

This repository aims to comprehensively grasp binary classification models. It focuses on predicting employee retention using diverse parameters through various classification techniques.

Ashimeon/DATA-SCIENCE

Ashimeon/Forest_Fire_Area_Prediction

The goal of this challenging regression challenge is to forecast the burnt area of forest fires in Portugal's northeast region using meteorological and other data.

Ashimeon/Image_Segmentation

- Unet model and combine with transfer learning from VGG-16 - Data is trained on in-built dataset: "Oxford_iiit_pet" - Perfrom both sementic, instance and phenoptic segmentation

Ashimeon/The-Data-Science-Learning-Hub

Data Science