ml-pipeline

There are 100 repositories under ml-pipeline topic.

  • ml-api-example

    Language:Python

  • ML-pipeline-short-term-rental-prices-NYC

    Course 2 project of the Udacity ML DevOps Nanodegree Program

    Language:Jupyter Notebook1

  • MovieReviewsIMDB_MLPipelineRobot

    POC of a ML pipeline created with UiPath AI Center. Classification of Movie Reviews from IMDB dataset

    1

  • 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 Notebook1

  • language_identification

    :globe_with_meridians: Language identification for Scandinavian languages

    Language:Python1

  • diabetes-prediction-ml-pipeline

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

    Language:Jupyter Notebook1

  • end-to-end-pyspark

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

    Language:Jupyter Notebook1

  • OneShot

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

    Language:Jupyter Notebook1
  • ml-services

    ml-services

    How to use managed services for Machine Learning using Microsoft Azure

    1

  • Disaster-Response-Pipelines

    Build a model for an API that classifies disaster messages

    Language:Jupyter Notebook1

  • NASA-spaceapps-hackathon-2019

    NASA spaceapps challenge 2019

    Language:Jupyter Notebook1

  • Disaster-Response-Pipelines

    Create ETL and ML pipelines for disaster response text classification

    Language:Python1

  • data-science-disaster-response

    using data science techniques to classify messages after a disaster

    Language:Jupyter Notebook1

  • realsoft-ai-tasks

    Assigned tasks and their solutions during RealsoftAI intership program

    Language:Jupyter Notebook

  • OptiML-Analyzer

    A versatile Python application using Streamlit for hands-on experience in programming and machine learning. OptiML-Analyzer enables qualitative and quantitative data analysis using various machine learning algorithms through a user-friendly interface.

    Language:Python

  • 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.

    Language:Jupyter Notebook

  • End-to-End-Vertex-AI-Pipeline-for-Fraud-Detection

    This Vertex AI Pipeline orchestrates the selection, deployment, and real-time monitoring of the highest-performing machine learning model from a pool of candidates. Designed to support a dynamic and collaborative model development environment, it ensures that only the most accurate and relevant models are deployed for fraud detection tasks.

    Language:Jupyter Notebook

  • Bank-Customer-Churn-Prediction

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

    Language:Jupyter Notebook

  • disaster-response

    ⛰️ machine learning pipeline for disaster alert

    Language:Python

  • disaster_response_message_classifier

    Multi-Label Classifier with ETL, NLP, Sklearn, Flask, + Plotly

    Language:Jupyter Notebook

  • mlproject

    Student performance prediction

    Language:Jupyter Notebook

  • 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

  • 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

  • AWS_Lambda_Postgres2Parquet

    Streamline Amazon RDS PostgreSQL to Parquet conversion via AWS Lambda and GitHub Actions for effortless S3 storage.

    Language:Python

  • unbalanced_data_classifier

    âš–Unbalanced data of diabetes classification

    Language:Jupyter Notebook

  • HastyAnnotationsExportToAmazonS3

    Tool that helps you export your annotations from Hasty.ai to Amazon S3. It uses GitHub Actions to run the export script on demand and/or on schedule. This means that you can automate the export of your annotations, so that you don't have to do it manually.

    Language:Python

  • Image-Processor-ML

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

    Language:Scala

  • ml-assignment-1

    Linear Regression, Logistic Regression, ML Pipeline

    Language:Jupyter Notebook

  • Machine-Learning-start-to-finish

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

    Language:Jupyter Notebook

  • car-price-prediction

    Clean and extract features from a large, scrapped data set from the Palestinian market. Deploying ML Pipeline

    Language:Jupyter Notebook

  • Terrosrist-Attack-Prediction-PySpark

    Use PySpark to predict the success of a terrorist attack using different machine learning approaches

    Language:Jupyter Notebook

  • disaster-response-pipeline

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

    Language:Python

  • Disaster-Response-App

    This application classifies messages using Random Forest.

    Language:Jupyter Notebook

  • 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

  • disaster-response-app

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

    Language:Python

  • 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