ml-pipeline

There are 100 repositories under ml-pipeline topic.

  • disaster-response-pipeline

    Message classification for disaster management

    Language:Jupyter Notebook

  • deploying-machine-learning-models

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

    Language:Jupyter Notebook

  • ApacheSpark

    GeekBrains: BigData. Фреймворк Apache Spark

    Language:Jupyter Notebook

  • ML-pipeline-rental-prices

    Project for ML DevOps Engineer Nanodegree, unit 3 (Building a Reproducible Model Workflow).

    Language:Jupyter Notebook

  • nd0821-c2-build-model-workflow-starter

    Starter Code for the Unit 3, ML DevOps Engineer Nanodegree.

    Language:Jupyter Notebook

  • genre-classification

    Final exercise of the Udacity class on Machine Learning workflows

    Language:Python

  • 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

  • disaster_response_pipeline

    Disaster response pipeline for Figure Eight data.

    Language:Jupyter Notebook

  • 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

  • Disaster-Response-Pipeline

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

    Language:Python

  • 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

  • Disaster-Response-Pipeline

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

    Language:Python

  • udacity-dsnd

    Udacity Data Scientist Nanodegree

    Language:Jupyter Notebook

  • Disaster-response-pipelines-with-message-data

    Build disaster response pipelines with the message data from Figure Eight. A ETL pipeline was built to process the message data from major natural disasters around the world. A ML pipeline was built to categorize these events according to the messages. A web app was set up to visualize the data and classify the message after typing in.

    Language:Python

  • distaster-response-project

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

    Language:Python

  • 2019-nCoV-rgb-bgr-converter

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

    Language:Clojure

  • plant-segmentation

    Plant segmentation experiments sample using RFlow

    Language:Python

  • disaster-reponse-pipeline

    Udacity Disaster Response machine learning pipeline project.

    Language:Python

  • disaster_response

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

    Language:Python

  • webapp-disaster-response

    Webapp for categorization of emergencies using a supervised machine learning model trainied on pre-labeled tweets, news and text messageas from real life disasters data.

    Language:Python

  • 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

  • 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

  • Disaster_Response_Pipeline

    Build a machine learning pipeline to categorize emergency messages

    Language:Jupyter Notebook

  • Disaster-Response-Pipelines

    Fifth project of data scientists nanodegree

    Language:Jupyter Notebook

  • Disaster-Response-Pipeline

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

    Language:Python

  • etl_workflow

    ETL pipeline and analysis of Walmart Dataset using python

    Language:Python

  • luigi-mlflow

    mlflow task for luigi pipeline

    Language:Python

  • Disaster-responses-pipeline

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

    Language:Jupyter Notebook