👉 Know more about me - [Personal Page]
📫 Reach out to me at [[email protected]] or [LinkedIn]
📚 [Resources] 👈 A compiled list of reading / resources / learning.
Name: Paritosh Katre
Type: User
Company: Data Scientist @ PayPal Inc.
Bio: Data Scientist @ PayPal | Mentor @ Kaggle
Location: San Jose, California
👉 Know more about me - [Personal Page]
📫 Reach out to me at [[email protected]] or [LinkedIn]
📚 [Resources] 👈 A compiled list of reading / resources / learning.
The most cited deep learning papers
A statistical analysis of Indian movies data set.
Political Discourse Analysis (PDA) of Political Speech Transcripts using Natural Language Processing (NLP)
Folder / directory structure options and naming conventions for software projects
Understanding Folium Python Library to create leaflet maps.
An implementation of Material Search Bar and searching through existing database.
An app which suggests foods and recipes based on the ingredients you search.
A demo on Fragments in Android Studio.
Hate speech dataset from Stormfront forum manually labelled at sentence level.
A contextual approach for detecting hate speech code words
Predict whether income exceeds 50K/yr based on census data.
IPL Data Analysis using pandas.
A JFrame Application to store data about patients.
Replacement for original files that include SEO, Twitter Card, Facebook Open Graph and Schema.org XML
A demo on KNN using ScikitLearn and Pandas on Car dataset.
Basic README.md
A personal website listing my research work and projects. https://katreparitosh.github.io
Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.
Becoming better at data science every day
This repository contains all new resources that were created for the NAACL-2018 paper "Inducing a Lexicon of Abusive Words -- A Feature-Based Approach" by Michael Wiegand, Josef Ruppenhofer, Anna Schmidt and Clayton Greenberg.
LLM based Cover Letter Generator
A machine-learning model using Scikit Learn.
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation
A Machine Learning Model which predicts the population of cow's in India.
I analysed a dataset obtained from last.fm to recommend the next songs a user is likely to hear. Used NearestNeighbor algorithm for predictive analysis.
Analysis of Movie Dataset using Pandas and Python.
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.