EitanBakirov/malicious-file-classification-app

A machine learning application designed to analyze and classify files as malicious or benign using static analysis features. This project combines robust data science techniques with a user-friendly web interface built using Streamlit.

Language: Jupyter Notebook - Size: 16.4 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Livyatan-melvillei/ai-clips-maker

AI-powered tool to turn long videos into short, viral-ready clips. Combines transcription, speaker diarization, scene detection & 9:16 resizing — perfect for creators & smart automation.

Language: Python - Size: 69.3 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

adma224/ml-inference-pipeline-aws

A production-ready, serverless machine learning inference pipeline built using AWS CDK, Lambda, API Gateway, and SageMaker, with full CI/CD automation via GitHub Actions. Built to demonstrate mid-level AWS and MLOps engineering skills.

Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0

RenatoMaynard/Supervised-Machine-Learning-Models-Pytorch-Sklearn

This repository provides a comprehensive implementation of supervised machine learning models using PyTorch and Scikit-learn. It includes end-to-end workflows for both classification and regression tasks, covering data preprocessing, model training, evaluation, and comparison between traditional ML models

Size: 1.95 KB - Last synced at: 2 days ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 0

sematic-ai/sematic

An open-source ML pipeline development platform

Language: Python - Size: 20.2 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 985 - Forks: 63

alperensumeroglu/ai-clips-maker

AI-powered tool to turn long videos into short, viral-ready clips. Combines transcription, speaker diarization, scene detection & 9:16 resizing — perfect for creators & smart automation.

Language: Python - Size: 2.93 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

SaifurRR/ML-Model-Pipeline

Language: Jupyter Notebook - Size: 786 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

aravind-selvam/ml-pipeline-using-stroke-data

This project demonstrates the implementation of a ML pipeline and CI/CD using data on heart strokes. The pipeline includes data preprocessing, model training and evaluation, and deployment. The project leverages GitHub for version control and integration with GitHub actions for efficient and automated model updates.

Language: Jupyter Notebook - Size: 4.03 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2

alexjc/weboptout

Opt-Out tool to check Copyright reservations in a way that even machines can understand.

Language: Python - Size: 75.2 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 194 - Forks: 1

LadaRudnitckaia/telemarketing-optimization

Develoment of a machine learning model optimizing telemarketing through prediction of marketing calls that don't lead to customer conversion

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

dieterich-lab/ASyH

The Anonymous Synthesizer for Health Data

Language: Python - Size: 569 KB - Last synced at: about 15 hours ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 1

kmock930/Drug-Consumption-Machine-Learning-analysis

This project contains codes and paperwork based on the course CSI5155 at University of Ottawa (delivered by Professor Dr. Herna Viktor).

Language: Jupyter Notebook - Size: 105 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

MarionChaff/surf-mail-alert

Machine learning pipeline for surf condition forecasting, integrating data collection, model training, inference, and automated email alerts

Language: Python - Size: 80.1 KB - Last synced at: 30 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Durgesh5863/AI-Driven-Recruitment-Pipeline

An advanced AI-driven recruitment pipeline that streamlines hiring with real-time interview insights and cultural fit scoring. This end-to-end solution leverages machine learning and data analysis to revolutionize candidate evaluation and decision-making.

Language: Jupyter Notebook - Size: 48.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

lunaSnowflake/Credit-Risk

Credit Risk

Language: Jupyter Notebook - Size: 18.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

ags911/udacity-dsnd

Udacity Data Scientist Nanodegree

Language: Jupyter Notebook - Size: 29.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

elmezianech/AutoInventory

This project is an end-to-end, fully automated warehouse management solution designed to tackle real-world inventory challenges in the FMCG sector. From real-time data ingestion and predictive analytics to interactive dashboards, this project combines cutting-edge technologies and an event-driven architecture to simulate a business-ready system.

Language: Python - Size: 61.5 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Jazib-2004/Prediction-Classification-and-Clustering-on-Public-Expenses-Dataset

Applying end-to-end ML pipeline incl. EDA to get to know data more, data preprocessing to prepare data for modelling, and at last REGRESSION to predict one feature's value, CLASSIFICATION to classify one feature, and K-means for clustering and its analysis.

Language: Jupyter Notebook - Size: 377 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

EmmanuelEzenwere/ERpager

Machine Learning NLP Web Application to Extract, Transform and Load (ETL) Twitter Messages into an SQL database and classify messages into response categories for First Responders, Disaster Response Organisations and Emergency Response Personnels during Disasters.

Language: Jupyter Notebook - Size: 12.3 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

vasnake/spark.ml.SpatialJoinTransformer

spark.ml.transformer: join two datasets using spatial relations

Language: Scala - Size: 120 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

ankitmishralive/ML-DAG-Pipeline

This project is a comprehensive machine learning dag pipeline designed to predict the potability of water. It integrates various stages of the machine learning lifecycle, from data extraction and cleaning to model training and evaluation.

Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

nikofebrianur/French-Twitter-Sentiment-Analysis

This machine learning pipeline project aims to develop an ML model to identify customer sentiment from French-language tweets on social media.

Language: Jupyter Notebook - Size: 320 KB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

AxelGard/grazing-cira

Cira set in production

Language: Python - Size: 220 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

JasurbekErgashev/realsoft-ai-tasks

Assigned tasks and their solutions during RealsoftAI intership program

Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

ruteee/ml-api-example

Language: Python - Size: 16.6 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

mesudepolat/ml-pipeline

Creating an end-to-end machine learning pipeline, implementing experiment tracking with MLflow, and performing hyperparameter optimization using Optuna.

Language: Python - Size: 117 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

MaxWolf-01/sklearn-svm-classification-pipeline-api

A flask api for text-classification with sklearn pipelines.

Language: Python - Size: 8.79 KB - Last synced at: 12 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

sanskarGupta551/ML_Projects___Kaggle_Competitions_using_Google_Cloud

Honing Professional ML skills by solving Kaggle Competitions using ML tools from Google Cloud and ML Best Practices. Analyzing the Winner Solutions.

Size: 1.95 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

mxagar/deploying-machine-learning-models Fork of trainindata/deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models". Personal notes and exercises.

Language: Jupyter Notebook - Size: 18 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

dg1223/NASA-spaceapps-hackathon-2019

NASA spaceapps challenge 2019

Language: Jupyter Notebook - Size: 31.5 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

cokl87/disaster_response_pipeline

ETL-, NLP- and ML-pipeline for processing and classifaction of messages during a disaster. Flask-app included where trained model can be deployed for demonstration purposes.

Language: Python - Size: 7.04 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

nakshatrasinghh/OneShot

OneShot is all you need. Tired of creating text preprocessing pipelines all the time? Don't worry, we got you covered. 🤗

Language: Jupyter Notebook - Size: 61.5 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

yennanliu/HousePricePredAPI

ML api predict house price wrapped in Docker and deployed to AWS ECS/Fargate | #DE |#ML

Language: Python - Size: 1.06 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

ashish-kamboj/mlops

Repository contains the detail about ML model deployment and building end-to-end ML pipeline for production

Language: Python - Size: 1.41 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 2

ilias-chatzistefanidis/HetNets-steering

Repo containing Channel Quality Indicator (CQI) data from real car routes in Greece. It contains a reproducable notebook with the implementation of a Bidirectional LSTM Neural Network for real-time CQI forecasting in heterogeneous ultra-dense beyond-5G networks.

Language: Jupyter Notebook - Size: 722 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

hifxit/dataligo

A library to accelerate ML and ETL pipeline by connecting all data sources

Language: Python - Size: 879 KB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 47 - Forks: 3

nikofebrianur/Bank-Customer-Churn-Prediction

This machine learning pipeline project aims to develop an ML model to identify bank customer churn.

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ndleah/disaster-response

⛰️ machine learning pipeline for disaster alert

Language: Python - Size: 27.6 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shreyaskorde16/mlproject

Student performance prediction

Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

withsmilo/When-ML-pipeline-meets-Hydra

:cyclone:

Language: Python - Size: 29.3 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 23 - Forks: 2

Tanay0510/Disaster-Response-Pipeline

Built a Machine Learning Pipeline to categorize emergency messages based on the needs communicated by senders

Language: Python - Size: 13 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

piyush-singhal/airflow-docker

Install Airflow using docker

Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0

sadiaTab/Disaster_Response_Pipeline

This project, in collaboration with Figure Eight as part of Udacity's Data Science Nanodegree program, focuses on real-time message categorization for disaster events. It involves an ETL pipeline, ML pipeline, and Web app for classifying disaster response messages.

Language: Jupyter Notebook - Size: 27.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

nshutijean/DVC-Mlflow-pipeline

📅 A demo about versioning data and tracking ML experiments using DVC and Mlflow respectively.

Language: Jupyter Notebook - Size: 110 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

varvarvarvar/language_identification

:globe_with_meridians: Language identification for Scandinavian languages

Language: Python - Size: 926 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

rahul765/Machine-Learning-Pipelines

From data gathering to model deployment. Complete ML pipeline using Docker, Airflow and Python.

Language: Python - Size: 335 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 3

SIH-22-Kyogre/SatVision_ML-Pipelining-Utils

Utilities to prepare the pipeline elements that integrate into SatVision: deep learning model inference, preprocessing, data acquisition, and post processing.

Language: Python - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ziss11/heart-failure-detection

Dicoding Submission MLOps Heart Failure Detection using ML Pipeline, Heroku Deployment and Prometheus Monitoring

Language: Python - Size: 182 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

ziss11/fake-news-classification

Dicoding Submission MLOps Fake News Classification using ML Pipeline

Language: Jupyter Notebook - Size: 43.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Neel7317/MLOPs_with_kedro

simple MLOPs demo with kedro..

Language: Python - Size: 4.35 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

gershonc/mlflow_showcase

Showcase of MLflow capabilities

Language: Jupyter Notebook - Size: 795 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

Bh-an/Image-Processor-ML

Short program to process (augment) images to be fed into a model training/prediction pipeline, Written entirely in Scala

Language: Scala - Size: 16.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

slitayem/disaster-response-pipeline

Udacity Data Science Nanaodegree - Disaster Response Pipeline Project

Language: Jupyter Notebook - Size: 5.14 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

Fatiima-Ezzahra/Operationalizing-Machine-Learning-in-Azure

This project is part of the Udacity Azure ML Nanodegree. In this project, we use Azure to configure a cloud-based machine learning production model, deploy it, and consume it. We also create, publish, and consume a pipeline.

Language: Jupyter Notebook - Size: 4.48 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 4

dimikara/Optimizing-an-ML-Pipeline-in-Azure

Optimizing an ML Pipeline in Azure - A Machine Learning Engineer Project

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 5

otaviog/rflow

RFlow - A workflow framework for agile machine learning

Language: Python - Size: 2.62 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 1

data-mining-in-action/DMIA_ProductionML_2021_Spring

Репозиторий направления Production ML, весна 2021

Size: 27 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 49 - Forks: 8

stanbuklovskyi/Machine-Learning-start-to-finish

This repository contains an example of a start-to-finish Machine Learning project and its files.

Language: Jupyter Notebook - Size: 369 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mazba-ahamad/Generating-Composite-Proxy-Target-Variable-for-Machine-Learning-Models-of-Business-Decisions

A multi-criteria decision analysis (MCDA)-based composite proxy target variable generation technique for business decision modeling that uses relevant features or independent variables conceptually related to the intended target variable.

Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Vevesta/VevestaX

2 Lines of code to track ML experiments + EDA + check into Github

Language: Jupyter Notebook - Size: 2.45 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 8

Lori-ml/Disaster-Response-App

This application classifies messages using Random Forest.

Language: Jupyter Notebook - Size: 6.55 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

lmasello/disaster-response-pipeline

Classify messages according to the assistance requested. Covers: ETL pipeline, Machine Learning pipeline, web application

Language: Python - Size: 3.15 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

oguzerdo/diabetes-prediction-ml-pipeline

Develop a machine learning model that can predict whether people have diabetes when their characteristics are specified

Language: Jupyter Notebook - Size: 7.12 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

canfang-feng/disaster-response-app

ETL pipeline + ML pipeline for NLP text classification + multi-label -multi-output+ Web APP for prediction

Language: Python - Size: 4.73 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

bodywork-ml/bodywork-pipeline-utils

A package of utilities for engineering ML pipelines.

Language: Python - Size: 54.7 KB - Last synced at: 9 days ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0

AlexanderMelde/ml-services

How to use managed services for Machine Learning using Microsoft Azure

Size: 1.45 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 2

ryszardmakuch/generating-supervised-ml-pipelines-using-genetic-programming

Excerpt from master's thesis on generating supervised machine learning pipelines using genetic programming.

Size: 3.64 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

marinavillaschi/disaster-response-pipeline

Message classification for disaster management

Language: Jupyter Notebook - Size: 19.2 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

bkraffa/HerokuAPI

Usando o framework FastAPI para verificar a a consistência e previsões de um modelo de regressão treinado para prever o preço de imóveis com base em suas características (dataset California Housing do Sklearn)

Language: Jupyter Notebook - Size: 25.9 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

TolstikovIgor/ApacheSpark

GeekBrains: BigData. Фреймворк Apache Spark

Language: Jupyter Notebook - Size: 512 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

semihdesticioglu/twitter-nlp-classifier

This project aims building a Natural Language Processing (NLP) model to categorize messages for possible disaster events that could happen in future. It is created as a part of Udacity Data Scientist Nanodegree Program.

Language: Jupyter Notebook - Size: 8.96 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

chris-hoffmann/disaster_response

A machine learning-based text classifier for supporting quick aid delivery developed in a previous class project.

Language: Python - Size: 45.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

saskiakutz/disaster_response_pipeline

Disaster response pipeline for Figure Eight data.

Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

SteliosGian/genre-classification

Final exercise of the Udacity class on Machine Learning workflows

Language: Python - Size: 15.6 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

LFattorini/capstone-project-churn-prediction-udacity

In this project, we attempt to predict customer churn of a popular (not real) music service. We perform data analysis and machine learning model building on a large amount of data using Spark.

Language: Jupyter Notebook - Size: 127 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

nicholas-dinicola/ML-pipeline-short-term-rental-prices-NYC Fork of udacity/nd0821-c2-build-model-workflow-starter

Course 2 project of the Udacity ML DevOps Nanodegree Program

Language: Jupyter Notebook - Size: 5.16 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 2

mapo121/2019-nCoV-rgb-bgr-converter

Will serve as a library to prepare all types of data to be processed by CLYDE.

Language: Clojure - Size: 1.28 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Faisal-AlDhuwayhi/Disaster-Response-Pipeline

Building Machine Learning and ETL Pipelines to categorize emergency messages based on the needs communicated by the sender

Language: Python - Size: 4.41 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

LFattorini/Project-2--Disaster-Response-Pipeline-Udacity

This project creates a machine learning pipeline to categorize disaster events from a dataset containing real messages. It includes a web app where an emergency worker can input a new message and get classification results in several categories.

Language: Jupyter Notebook - Size: 8.28 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

richardvlas/Operationalizing-Machine-Learning

In this project we use Microsoft Azure Cloud Computing Services to configure a cloud-based machine learning production model, deploy it, and consume it. We will also create, publish, and consume a pipeline.

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

jasmeetsb/airflow_ml_ops

Sample Airflow ML Pipelines

Language: Jupyter Notebook - Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

aminzadenoori/distaster-response-project

Implementation of ETL and ML pipelines for multi-output classification tasks.

Language: Python - Size: 8.41 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

otaviog/plant-segmentation

Plant segmentation experiments sample using RFlow

Language: Python - Size: 813 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

rbhatia46/end-to-end-pyspark

And end-to-end Machine Learning pipeline with PySpark-ML for the famous Telco Customer Churn dataset

Language: Jupyter Notebook - Size: 249 KB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 2

melkodary/disaster-reponse-pipeline

Udacity Disaster Response machine learning pipeline project.

Language: Python - Size: 3.71 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

imumarfarooq/Disaster_Respose_Pipeline

Data Engineering techniques to analyze the data from Figure Eight to build a classification model for an API that classify the Disaster message into one of the given 36 categories and contact the particular category company to help these peoples.

Language: Python - Size: 5.47 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

chris-chris/xmodel

Multi Cloud Model Management System for Machine Learning

Language: Python - Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

ZarahShibli/Disaster-Response-Pipeline

The aim of this project is to build a model for classifies disaster messages.

Language: Python - Size: 24.5 MB - Last synced at: 18 days ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

hyzhak/luigi-mlflow

mlflow task for luigi pipeline

Language: Python - Size: 6.84 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

karolrives/Disaster-responses-pipeline

A machine learning pipeline to categorize emergency messages based on the needs communicated by the sender.

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

alazark777/Disaster-Response-Pipelines

Create ETL and ML pipelines for disaster response text classification

Language: Python - Size: 2.03 MB - Last synced at: 6 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0