krishna-aditi Goto Github PK
Name: Aditi Krishna
Type: User
Bio: Data Scientist, MS-Information Systems @ Northeastern University, Boston
Location: Boston MA
Name: Aditi Krishna
Type: User
Bio: Data Scientist, MS-Information Systems @ Northeastern University, Boston
Location: Boston MA
INFO 5100 Assignments @ Northeastern University
Analysis and prediction of global energy consumption using fossil and renewable resources for the next 10 years.
Processing Storm data from SEVIR dataset in Google Big Query and visualizing insights on Google Data Studio.
SEVIR data Nowcast Analysis for Federal Aviation Administration usecase.
Comic book (in Python) on Mowgli: Legend of the Jungle, using PIL, Pandas, Numpy
Unsupervised clustering of a retail store's customer database to perform Customer Segmentation and Profiling.
Data science interview questions and answers
Practicing Data Science concepts in Python
XSV queries on Amazon Musical Instruments Review and Great-Expectations library for Data Validation
Tutorials for DevOps tools such as Google Codelabs, Apache Airflow, Streamlit, FastAPI, Great Expectations, etc.
Hosting Nowcast FastAPI using Streamlit and Heroku.
Designed and implemented a relational database using SQL to build a unified system for hotel businesses to enable reservation management of rooms, restaurants, and events.
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
Hybrid model combining 3D-CNN and LSTM networks to predict snow over Lake Michigan
LangChain usecases
WebApp to bring together Text Summarization and Sentiment Analysis of the stock related news to better understand the stock price trends.
SEVIR Nowcast API using FastAPI web-framework.
Web App for Product Recommendation based on Market Basket Analysis and Customer Segmentation using RFM Analysis
Prediction Customer Spend Problem with Retail Transaction Dataset.
RFM Analysis on SuperStore Dataset and A/B Testing on Smart Ads Dataset
We aim to build the best Airbnb Price Prediction model using linear regression, ridge regression, linear support vector regressors, k-nearest neighbours, and random forests. We also perform hyperparameter tuning to attain the best results for the models fit for our usecase. The performance of each of these models are evaluated and compared.
SEVIR Lambda functions for Summarization and Named-Entity Recognition. Deployed on AWS ECR.
This repository provides various demos/examples of using Snowpark for Python. Please navigate to each of the subfolders to learn more about a specific demo/example.
Stock price prediction using random forest regression model in Python.
Enabling visual search using Elasticsearch to perform lookup for similar images, given a reference image.
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.