Silvano Quarto's Projects
This projects aims to classify potential churn customers using a Telco Customer Dataset from IBM. The main applications are about the explainability integration with SHAP algorithm and the creation of an interactive dashboard with Exploratory, Classification and Explainability insights.
This repository aims to test some machine learning and ELI5 explainability technique in order to predict whether the customer would be interested in Vehicle insurance, you have information about demographics, vehicles, policy
This repository has the goal to collect all the coding questions I did on Leetcode. It should be an archive for myself and for whom need it. All the rights goes to Leetcode, from where these questions were taken.
The main idea for this project is explore a Kaggle dataset about ChatGPT reviews using a NLP approach in order to apply ML models for score reviews predictions. I applied LIME algorithm to evaluate explainability to get text and features explanations. I realised a Docker container to set up a Django web application.
This project aims to study a public dataset on pneumonia detection based on a binary classification problem. I will perform a preprocessing phase, create a deep learning model from scratch, evaluate it with a transfer learning technique and complete this study with a grad cam integration.
Config files for my GitHub profile.
Stroke prediction with machine learning and SHAP algorithm using Kaggle dataset
This project aims to explore satellite image dataset in order to create a CNN model for wildfire prediction problem. Explainability with ELI5 and GradCAM could be an interesting integration to be tested.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent