kavashashank Goto Github PK
Name: Shashank Kava
Type: User
Bio: Data Enthusiast!
Name: Shashank Kava
Type: User
Bio: Data Enthusiast!
Facilitate content discovery through a chat interface and/or fine-grained, yet robust micro-genres that make full use of your archives while adhering to rights management.
Code samples, etc. for Databricks
CSV datasets used in Plotly API examples
Repository to add all the notebooks and related content for flight school
The folder consists of independent projects that I have worked on. They mostly include working on social media analytics that include social media platforms like Facebook, Instagram, Twitter and FourSquare.
New Repo with New Structure and 2 assignments
This course explores the application of data science techniques to unstructured, real-world datasets including social media and geo-referenced sources. The course will focus on techniques and approaches to extract information relevant for experts and non-experts in areas that include smart cities, public health and disaster management. The course will examine state-of-the-art research in the field and will put an emphasis on mastering current literature and trends. Students will be required to read and present papers in class as well as to participate in technical discussions. The course will also have an important practical component with students working on a variety of research problems through a data lens.
Work Plan submitted
Visual analytics is the use of interactive visual interfaces to facilitate analytical reasoning. In essence, visual analytics is based on the–not uncontroversial–idea that humans and computers working alone are insufficient for the data challenges of today and tomorrow, and that effective synthesis of both humans and computational algorithms are needed to create human-in-the-loop systems. Thus, visual analytics bridges human-centered disciplines such as visualization and human-computer interaction with computation-centered disciplines such as machine learning, probabilistic methods, and knowledge discovery. In this course, intended for iSchool graduate students (but open to any masters or Ph.D. student at UMD), you will learn how to apply these exciting techniques to practical problems and work on state-of-the-art research projects that could lead to a publication in one of the prestigious IEEE VIS conferences! After taking this course, students will be able to: Understand human aspects such as perception, cognition, sensemaking, critical thinking, and the analytical process. Understand computational aspects such as data management, data transformations, knowledge representation, probabilistic methods, and text analytics, etc. Synthesize knowledge from fields such as visualization, human-computer interaction, machine learning, knowledge discovery, and text analytics towards helping people understand data. Use existing visual analytics tools to analyze basic datasets.
RAG architecture with Databricks Vector Search and Databricks Model Serving. A movie recommender chat bot was developed with LLama-2-7b-hf-chat where a user can type in a movie description (e.g. romantic comedy set in New York) and the chat bot recommends a movie based on a corpus of plot summaries and gives a micro summary.
PERCEIVE is a project incubator inspired by Apache Incubator and Stack Exchange's Area 51. It serves as a staging zone repository for the project early ideas.
Developing a chatbot in python from scratch
Datacamp courses
Python script to export Robinhood trades to a CSV file
Project Documentation with Code
The repository consists of the source code for the text mining assignments done as a part of Computational Journalism
Presidential General Election Results by County, as collected by USGS/National Atlas
Forking for workflow demo
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.