siddharth1701 Goto Github PK
Name: Siddharth Koduri
Type: User
Name: Siddharth Koduri
Type: User
Code to all videos regarding Python Regular Expressions
Python Stuff
English word segmentation, written in pure-Python, and based on a trillion-word corpus.
Useful functions, tutorials, and other Python-related things
Python scripts to automate various tasks. Details are in Readme
Resume and CV Summarization and Paring with Spacy in Python
The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universal score which can help the applicant understand the current status of the match. The following steps were undertaken for this project 1) Job Descriptions were collected from Glass Door Web Site using Selenium as other scrappers failed 2) PDF resume parsing using PDF Miner 3) Creating a vector representation of each Job Description - Used word2Vec to create the vector in 300-dimensional vector space with each document represented as a list of word vectors 4) Given each word its required weights to counter few Job Description specific words to be dealt with - Used TFIDF score to get the word weights. 5) Important skill related words were given higher weights and overall mean of each Job description was obtained using the product for word vector and its TFIDF scores 6) Cosine Similarity was used get the similarities of the Job Description and the Resume 7) Various Natural Language Processing Techniques were identified to suggest on the improvements in the resume that could help increase the match score
A simple resume parser used for extracting information from resumes using NLP
Code to parse information such as Name, Email, Phone Number, Skill sets and Technologies from a given resume
Gets text from pdf then sections resume
Resume Analyser using NLP and Python
Rates the quality of a candidate based on his/her resume using unsupervised approaches
The objective of the project is to create a Resume Scoring algorithm using Natural Language Processing. The algorithm will parse resumes one by one and will create a Candidate Profile based on the skills mentioned in the resume. A corpus is created using Sketch Engine, Wikipedia pages for various required skills (example : Machine Learning, Data Science, Software developer, Programming) are given as input, Sketch Engine creates a corpus from the useful data available on the given links. Word Embeddings are created from the corpus and these are used to match the skills in the candidate resume with the required skills. Finally, the candidate profile is built and plotted as a bar graph for better visualization.
How I used NLP (Spacy) to screen Data Science Resumes
A resume filtering based on natural language processing
Parses a document using apache tika
Job description based candidate pertinence analysis
This tool is created for fetching the information from different format of CV such as Name, Email-id, Address, Experience, Education, Mobile Number, Hobbies, Passport Number etc. This tool is made using python using NLP(Natural Language Processing).
A framework to parse resumes, extract contact & other information, and check for required terms
This is same resume for data scientist year wise so that everyone can prepare there own resume with this reference
Extracting and analyzing Facebook Messenger data for EDA and NLP specific tasks
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.