-
Updated
May 12, 2020
model-deployment
Here are 295 public repositories matching this topic...
Demo ML repository, using Algorithmia Model Deployment Github Action, to auto deploy on an Algorithmia algorithm backed by Github
-
Updated
Mar 29, 2021 - Jupyter Notebook
Example repository demonstrating a CI workflow between Github and Algorithmia
-
Updated
Oct 2, 2020 - Jupyter Notebook
Deployment of ML projects using Streamlit
-
Updated
Jan 9, 2023 - Jupyter Notebook
Breast Cancer prediction app using KNN and SVC algorithm.
-
Updated
Sep 28, 2023 - Python
In this project we are building a system that can predict weather a person has diabetes or not with the help of Machine Learning.
-
Updated
Jul 7, 2021 - Jupyter Notebook
Create, deploy and interact with a Machine Learning model in real time. Project involves training a Logistics Regression model for a binary classification task and deploying the trained model in a webserver to obtain real-time predictions via rest API using a simple web page
-
Updated
Feb 6, 2024 - Jupyter Notebook
Tech Challenge of the Postgraduate in Data Analytics, from FIAP, analyzing Brent Oil price data, in comparison with historical, economic and societal data, integrating correlation and causality analyzes of items with prices, as well as developing a model forecast and an importance analysis through information gain from a forest model (XGBoost)
-
Updated
Jan 28, 2024 - Jupyter Notebook
Hello World Project in Real-Time NLP deployments.
-
Updated
Feb 22, 2024 - Python
Exploratory data analysis, data modelling, model building and interpretation, machine learning production, quality assurance
-
Updated
Aug 14, 2023 - Jupyter Notebook
I did exploratory data analysis on scraped job listings from Glassdoor, and built a salary prediction model deployed as a client-facing forecast tool.
-
Updated
Jul 6, 2021 - Jupyter Notebook
Predict the genre of a given movie description.
-
Updated
Feb 13, 2021 - Jupyter Notebook
This is SMS spam detection app deployed in Heroku
-
Updated
Nov 13, 2020 - Python
Successfully established a machine learning model which can predict whether any given customer currently utilizing the products and services offered by a company will churn at anytime in the future or not, depending upon a set of unique features/characteristics pertaining to that specific individual, to a great level of accuracy.
-
Updated
Jun 18, 2022 - Jupyter Notebook
The aim of this project is to classify people’s emotions based on their face images
-
Updated
Sep 4, 2022 - Jupyter Notebook
ML model deployment using IRIS dataset
-
Updated
Oct 19, 2023 - Python
A step by step walkthrough of how to deploy OpenAI's GPT2 model, served using FastAPI, on Google Cloud
-
Updated
Aug 1, 2020 - Python
Build end-to-end Data Science (NLP) project for Amazon's Product Review Sentiment Classification using AWS tools.
-
Updated
Jul 20, 2021 - Jupyter Notebook
From a dataset provided by a leading commercial bank in Vietnam, profile customers of the bank and predict who are likely to churn.
-
Updated
Nov 25, 2022 - Jupyter Notebook
Repo for ML model deployment on Render.com
-
Updated
Sep 26, 2023 - Python
Improve this page
Add a description, image, and links to the model-deployment topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the model-deployment topic, visit your repo's landing page and select "manage topics."