sondosaabed/Preprocessing-for-Machine-Learning-in-Python

DataCamp inetrmediate course on how and when to perform data preprocessing in any machine learning project to get the data ready for modeling

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eermis1/Udacity_DisasterResponses_Project

This repository has been created for Udacity Data Scientist Nanodegree Program - Data Engineering Part - Disaster Response Pipeline Project.

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Cutwell/spatial-data-upscaling

Pipeline for augmenting sparse data for genetic optimisation

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Cutwell/irregular-searchspace-pipeline

Pipeline for working with irregular search spaces in Platypus-Opt genetic optimisation

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heschmat/project-disaster-response

Analyze disaster data from Figure Eight to build a model for an API that classifies disaster messages.

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mikethwolff/ML-FastAPI

This repository lists one of my projects and findings as part of my Machine Learning DevOps Engineer Nanodegree.

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mxagar/disaster_response_pipeline

This repository contains a Machine Learning (ML) pipeline which predicts the response to messages in disaster situations. An ETL pipeline is also developed and everything is deployed with a web app based in Flask.

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khuyentran1401/Machine-learning-pipeline

Example machine learning pipeline with MLflow and Hydra

Language: Python - Size: 21 MB - Last synced: 23 days ago - Pushed: about 1 year ago - Stars: 83 - Forks: 28

labrijisaad/Kedro-Energy-Forecasting-Machine-Learning-Pipeline

This repo showcases a project that transforms ML model training into a simplified, production-ready Kedro Dockerized Pipeline. It emphasizes best MLOps practices, enabling easy training, evaluation, and deployment of models, including XGBoost, LightGBM and Random Forest, with built-in visualization and logging features for effective monitoring.

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ejhusom/d2m

A machine learning pipeline taking you from raw data to fully trained machine learning model - from data to model (d2m).

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wyattowalsh/NBA-attendance-prediction

Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.

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SaM-92/Azure_ML_Energy_Predict

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Vidhi1290/Machine-learning-Pipeline

Explore a collection of Jupyter notebooks that guide you through various stages of the machine learning pipeline. From data analysis and feature engineering to model training and deployment, these notebooks provide practical insights for both beginners and experienced data enthusiasts. Let's dive into the world of data-driven decision-making! 📊🚀"

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Jishnuadhikary10/ml_hotel_booking_prediction

The code snippet cleans and analyzes a hotel bookings dataset, handling missing values, dropping unnecessary columns, and creating new features. It visualizes the data using various plots and performs feature encoding and selection. It then trains machine learning models to predict hotel booking cancellations.

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Arslan-Mehmood1/Machine-learning-pipeline-deployment-using-Docker-and-FastAPI

This project is focused on the Deployment phase of machine learning. The Docker and FastAPI are used to deploy a dockerized server of trained machine learning pipeline.

Language: Python - Size: 2.19 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 9 - Forks: 2

kennethleungty/Anomaly-Detection-Pipeline-Kedro

Anomaly Detection Pipeline with Isolation Forest model and Kedro framework

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Anashaneef/clickbait-classification-pipeline

This is the first project of the ML-Ops Dicoding class. This project serves to classify whether a title is included in the clickbait category or not.

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oguzerdo/diabetes-prediction-ml-pipeline

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

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ar8372/Framework3

Framework3 is a super-simple and robust ML Pipeline for tabular and image competition. The purpose of this is to make the process not too abstract, so that the user can have full control over it.

Language: Python - Size: 1.68 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

MinatoNamikaze02/nlp-disaster-tweets

A multi-output classifier pipeline that predicts the underlying disaster behind a tweet (If any).

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khadkarajesh/wine-prediction

White and Red Wine classification using logistic regression

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RegaipKURT/ScikitLearnWithFUN

This repository shows the implementation of machine learning algorithms, data pipelines and data visualization with scikit-learn and python.

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