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Name: Priyanka S Diddi
Type: User
Name: Priyanka S Diddi
Type: User
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Detecting Covid-19 from X-ray
A Python library for easy data analysis, visualization, exploration and modeling
Here challenge is to build a machine learning model that predicts which Tweets are about real disasters and which one’s aren’t.
The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others.
I will set upload some of my work on Kaggle as backup
A simple technique to integrate BERT from tf hub to keras
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Repository about projects or things I do with data :)
The data and problem statement given by "The Sparks Foundation". Nowadays, people are using machine learning in education field also to automate most of the things in return it reduces man power , saves time. In classroom,there are many students and mostly one teacher has to work on students progress so its not always possible to interact with each student and know their progress. Before the final exam,every teacher would like to know their students progress, percentage of marks will secure by his/her students in upcoming exams so that they can work more on weaker students.Here challenge is to predict the percentage of marks of an student based on the number of study hours.
This problem statement and data given by The Sparks Foundation. Here objective is to predict class of iris flower by posing this problem as unsupervised Learning Problem.
Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics
AI based voice recognition desktop application
This is dynamic web application for interior designers .
How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
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.