Showing results for Status Vector
GitHub Repo
https://github.com/harry-bridge/vectorworks-status
harry-bridge/vectorworks-status
Status page for a Vectorworks license server running on RLM
GitHub Repo
https://github.com/knowprose/pyVectorDemo
knowprose/pyVectorDemo
Quick code for the Anki Vector that displays a small status including image snapshot (unsaved), gyro status, battery status, network status.
GitHub Repo
https://github.com/juren53/Vector-Battery-Status
juren53/Vector-Battery-Status
Python script that reports on Anki Vector's battery status
GitHub Repo
https://github.com/HARIHARANS24/loan-status-predictor-svm
HARIHARANS24/loan-status-predictor-svm
A machine learning-powered web application built using Support Vector Machine (SVM) and Streamlit to predict whether a loan application will be approved or not, based on historical data.
GitHub Repo
https://github.com/fa1zali/loan_status_prediction_using_support_vector_machine
fa1zali/loan_status_prediction_using_support_vector_machine
A Machine Learning project using SVM for predicting whether a person gets a loan or not.
GitHub Repo
https://github.com/khaymanii/Loan_Status_Predictor
khaymanii/Loan_Status_Predictor
This is a loan status predictor model built using Support Vector Machine Algorithm and Gradio UI library
GitHub Repo
https://github.com/VectoraGames/VectoraGames.github.io
VectoraGames/VectoraGames.github.io
The Other Side Status
GitHub Repo
https://github.com/binoydutt/Resume-Job-Description-Matching
binoydutt/Resume-Job-Description-Matching
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
GitHub Repo
https://github.com/VectorDBCloud/status-vectordbcloud
VectorDBCloud/status-vectordbcloud
Real-time status monitoring for VectorDBCloud API - 209 endpoints across 15 service categories
GitHub Repo
https://github.com/Gokulprasanth-t/Support-Vector-Machine