Demo ML repository, using Algorithmia Model Deployment Github Action, to auto deploy on an Algorithmia algorithm backed by Github

Example repository demonstrating a CI workflow between Github and Algorithmia

Deployment of ML projects using Streamlit

Breast Cancer prediction app using KNN and SVC algorithm.

In this project we are building a system that can predict weather a person has diabetes or not with the help of Machine Learning.

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

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)

Hello World Project in Real-Time NLP deployments.

Exploratory data analysis, data modelling, model building and interpretation, machine learning production, quality assurance

Predictive analysis of the air quality index with deployment.

A tutorial for deep learning model deployment.

Welcome to the Home Loan Approval project! This machine learning-based web application predicts whether an individual is eligible for a home loan. It combines the power of Streamlit for the front end, FastAPI for the API, and various Python libraries for data processing and machine learning.

This repository contains a data science project long with a project report focused on predicting the demand for bike sales.

This repository contains the front-end code, that revolves around deploying a Machine Learning Model Developed in one of my research study named "A Novel Convolutional Neural Network for Classifying Indian Coins by Denomination"

A step by step walkthrough of how to deploy OpenAI's GPT2 model, served using FastAPI, on Google Cloud

Build end-to-end Data Science (NLP) project for Amazon's Product Review Sentiment Classification using AWS tools.

From a dataset provided by a leading commercial bank in Vietnam, profile customers of the bank and predict who are likely to churn.

Repo for ML model deployment on Render.com

This project showcases how to fine-tune a HuggingFace model with the SQuAD dataset and create a Gradio interface for interactive question answering, enabling users to input context and questions and receive model-generated answers.