Examples for gaurav.cc
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Updated
May 11, 2024 - Java
The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Examples for gaurav.cc
(Incubation) Streams Healthcare Analytics Platform - To enable and inspire the next generation healthcare solutions
Stream data from a Java program and use a Jupyter notebook to demonstrate charting of statistics based on historical and live events. IBM Db2 Event Store is used as the event database.
An Apache-Spark application that infers qualitative data regarding the car accidents in New York City.
The Ganymede Kernel is a Jupyter Notebook Java kernel based on the Java Shell tool, JShell.
A BI-oriented pharmaceutical ERP application. The project workflow included the overall data exploitation process from data collection, ETL process, datawarehouse creation to the development and deployment of the end to end solution.
A comprehensive list of OOPs concepts and various technicalities implemented using Java for educational purposes.
A simple Jupyter notebook alike using Spring and GraalVM
Мобилно приложение, което помага на хората да разберат дали са заразени преди да забележат симптоми.
Projet transparence santé en France — Business Intelligence at Polytech Lyon
Extract the HTML,SCC & JAVA with python and creates Directory's.
Android image classifier for cars
Underwater Mine ID platform designed for use by the Navy & implemented with Hadoop, Oracle DB, Apache Tomcat, and a K-Means Clustering + DBScan algorithm
Tried to gather my undergrad cse lab works from several courses in this repository. Some works are missing though.
Certainly, Just Started with Uploading my Codes and Little projects.
A sliding puzzle game for Android with deep learning techniques, written in Java and Python, utilized TensorFlow and Jupyter.
A Movie Recommender App built using Android Studio (Java) with a Recommender Engine (Python) at the Back End. Data entries are managed with Firebase firestore
🧯 This is a collection of exercises I'm doing for my university programming III course. Java, C, Python, Nodejs and Go will be used.
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 2 months ago