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Name: Payal (Alisha) Dhillon
Type: User
Name: Payal (Alisha) Dhillon
Type: User
Using Tableau , I have created a database showing how the New York Biking program helps the public by using the demographic data using the Citi Bike Data website
Evaluating a model based on loan risk. Using a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
Leveraging my expertise in unsupervised learning and Python programming, my task is to determine whether cryptocurrencies are impacted by changes in prices over a 24-hour or 7-day period. The objective is to develop a predictive model that can identify any potential correlation between cryptocurrency prices and these specific timeframes.
Alphabet Soup, a nonprofit foundation, needs a tool to identify applicants with the highest likelihood of success in their ventures to receive funding. Using machine learning and neural networks, a binary classifier will be developed using the features in the provided dataset to predict whether an applicant will be successful if funded by Alphabet.
Crowdfunding platforms like Kickstarter and Indiegogo have gained immense popularity since the late 2000s, enabling both independent and well-known creators to launch products and create buzz. However, not all projects on these platforms succeed. I will analyze a database of 1,000 sample projects to identify hidden trends.
Evaluate employee retention and attrition rates by various factors based on the healthcare sector database in the US.
By utilizing SparkSQL to extract important metrics from home sales data. Subsequently, I employed Spark to create temporary views, partition the data, cache and uncache a temporary table, and confirm that the table has been successfully uncached.
how today’s inflation rate is impacting several aspects of everyday life. This includes real estate, grocery prices, purchasing habit, labor market, minimum and median wages.
USGS needs a new set of tools to visualize their massive amounts of earthquake data collected worldwide. I created a visualization method to convey USGS data to the public and government organizations. The goal is to enhance awareness and understanding of planet-related issues, potentially securing more funding for future projects.
We aim to predict PD progression by analyzing MDS-UPDRS scores, which assess both motor and non-motor symptoms. Using protein and peptide data from both PD patients and healthy controls, we aim to uncover molecular changes and make groundbreaking discoveries about the disease.
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.