kavashashank Goto Github PK

data-challenge-gdelt

databricks-playground

Code samples, etc. for Databricks

datasets

CSV datasets used in Plotly API examples

db_flight_school

Repository to add all the notebooks and related content for flight school

fasttext-flavor

files_in_repos

independent-projects

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.

infm600-kavashashank

New Repo with New Structure and 2 assignments

infm750-data_to_insights

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.

infm_600_0101_impressiveimpalas

Work Plan submitted

inst728q-visual_analytics

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.

intro-to-repos

movie-recommender-chatbot

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

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.

python-chatbot

Developing a chatbot in python from scratch

python_datacamp

Datacamp courses

robinhood-for-google-finance

Python script to export Robinhood trades to a CSV file

showing-bots-who-share-fake-news

Project Documentation with Code

text-mining-python

The repository consists of the source code for the text mining assignments done as a part of Computational Journalism

us-presidential-election-county-results

Presidential General Election Results by County, as collected by USGS/National Atlas

wflowtest

Forking for workflow demo