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age-of-aggression

BDCC Project on Exploratory Data Analysis on the GDELT Public Dataset

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

car_collision_model

This project is part of the Data Science Capstone Project offered by IBM. The contents of this repository are the codes and final report regarding the analysis and building of models for predicting the potential car crash based on weather and road conditions.

clusterensembles

A Python package for cluster ensembles

coursera_capstone

This project is a part of the Applied Data Science Capstone Project offered by IBM under their Professional Certification Course

credit-card-fraud-detection

discord_bots

dyar.io

feedback_prize_2021

flask-dashboard-volt

Flask Bootstrap 5 - Volt Dashboard | AppSeed

github-slideshow

A robot powered training repository :robot:

gma-eleksyon-2022-data

Batch Philippine 2022 Elections Data Per Municipality as of 12:00PM May 10

haystack

:mag: Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

job-description-skills-extractor

Given a job description, the model uses POS and Classifier to determine the skills therein.

jobheirarchy

kedro-spaceflight

m3ga-dashboard

machine-learning-with-python

Python code for common Machine Learning Algorithms

majortravelchatbotdemo

ojo_daps_mirror

The Open Jobs Observatory public mirror repo

referenceimages

ReferenceImages

skillner

A (smart) rule based NLP module to extract job skills from text

stem-monitoring-and-analytics

STEM PH Monitoring and Analytics (STEMma) is a joint project by the Asian Institute of Management Masters in Data Science Program (AIM MSDS) and the Unilab Foundation, which seeks to develop a deeper understanding of the emerging skill gaps in the ever-changing labor market.

trim-mcds

A modified version of the MLST algorithm, configured for a protein-protein interaction networks. The code utilizes SIGNOR 2.0, a protein-protein interaction database, as its primary resource. Data cleaning and pre-processing steps are also included

tutorial-utilizing-kg

Resources for Tutorial on "Utilizing Knowledge Graphs in Text-centric Information Retrieval"

twitterolapschema