sahil-sharma-50 Goto Github PK
Name: Sahil Sharma
Type: User
Bio: Pursuing masters's degree in Data Science at FAU Erlangen
Location: Bavaria, Germany
Name: Sahil Sharma
Type: User
Bio: Pursuing masters's degree in Data Science at FAU Erlangen
Location: Bavaria, Germany
This dashboard provides comprehensive insights derived from surveys within the data industry. The visualizations included are designed to offer a clear understanding of various aspects related to the field.
Data visual using Python GUI (Tkinter)
Developed a complex neural network model using Python that incorporates Fully Connected layers, Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN). The model includes key components such as Pooling, Dropout, Batch Normalization, Flatten, Sigmoid, Softmax, and Tanh layers.
This Power BI report provides a comprehensive analysis of sales data from the financial years 2017 to 2020. The report is divided into four main pages: Overview, Profit Margin, Country Details, and Product Details.
Developed a custom image classification system utilizing the Flickr API to acquire images for a unique dataset. Implemented the ResNet50 model for accurate image classification. Integrated a real-time reporting feature that sends progress updates to a mobile device via a Telegram bot.
This PyTorch script aims to train a SegmentationModel for image segmentation task using the CityScapes dataset, utilizing the DeepLabV3Plus architecture with a resnet34 encoder.
Management System build with Tkinter using Python
This project implements and trains a variation of the widely used architecture, ResNet, for classifying images from solar panels. The goal is to identify defects in solar panels. The defects can be of different types, such as cracks or inactive regions.
Leveraging a segmentation model, route instructions, and GPS coordinates, our goal is to provide accurate, real-time guidance to help visually impaired individuals navigate safely and confidently through various environments.
Config files for my GitHub profile.
The Sales Dashboard is a comprehensive tool that provides insights derived from sales data. The dashboard's visualizations are meticulously crafted to offer a clear understanding of various aspects related to sales performance over the years.
Analyze different weather conditions and their impact on different types of vehicles involved in road accidents.
Analyze different weather conditions and their impact on different types of vehicles involved in road accidents.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.