GitHub topics: modeldeployment

Repositories

newking9088/building_insurance_predictive_modeling

A comprehensive case study on implementing predictive modeling in insurance

Size: 713 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 1

OutofAi/ChitChat

Modal LLM LLama.cpp based model deployment as part of series of Model as a Service (MaaS)

Language: Python - Size: 40 KB - Last synced at: 21 days ago - Pushed at: 4 months ago - Stars: 16 - Forks: 0

jodhie/building_insurance_predictive_modeling

A comprehensive case study on implementing predictive modeling in insurance

Size: 173 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

nafisalawalidris/Advanced-Fraud-Detection-with-Anomaly-Detection

This repository demonstrates how to build a robust fraud detection system that combines supervised learning techniques with anomaly detection models. It provides end-to-end implementation, from data preprocessing and model training to deploying a real-time fraud detection API using FastAPI.

Language: Jupyter Notebook - Size: 2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

SridharYadav07/Machine-Learning-Project-Bankruptcy-Prevention-

The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.

Language: Jupyter Notebook - Size: 220 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MvMukesh/models_in_production

Integrated robust and reliable ML Pipelines for Research and Production environment

Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sch0penheimer/DermAItool-Flask-Server

DermAItool's Flask sub-server. This server is mainly responsible for the current models deployment, and anything related to predictions or GRAD-CAM generation. Its routing is only accessible via HTTP requests from the SpringBoot's dedicated REST API, thus the "sub" prefixe.

Language: Python - Size: 678 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

GoldSharon/Sentimaster

Sentimaster is an AI-powered web tool that analyzes restaurant reviews. It uses a fine-tuned GPT-2 model to classify sentiment, giving businesses real-time insights for better service and decision-making.

Language: Jupyter Notebook - Size: 216 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SURESHBEEKHANI/Wine-Quality-Prediction

This project involves the development of a complete ML pipeline with tracking and deployment capabilities.

Language: Jupyter Notebook - Size: 187 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

steveee27/Customer-Churn-Prediction

A machine learning project to predict customer churn for a bank using XGBoost and Random Forest models. The project includes data preprocessing, feature engineering, model training with hyperparameter tuning, and deployment using Streamlit for real-time predictions.

Language: Jupyter Notebook - Size: 1.75 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Gayathri2200/Car-price-prediction---Machine-Learning

Car price prediction Machine Learning --- Which is used to predict the price of used cars based on the features.

Language: Jupyter Notebook - Size: 747 KB - Last synced at: 24 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Kaushik-Puttaswamy/Food-Delivery-Time-Prediction-Using-Machine-Learning

The Food Delivery Time Prediction Model estimates delivery times using regression algorithms, with XGBoost as the best performer, and is deployed as a real-time application via Streamlit.

Language: Jupyter Notebook - Size: 4.29 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

DataScienceVibes/DIABETIC-RETIONOPATHY-DETECTION

Diabetic Retinopathy (DR) is a diabetes complication that affects the eyes. It is caused by damage to the blood vessels of the light-sensitive tissue at the back of the eye (retina). DR can lead to blindness if not detected and treated early.

Language: Jupyter Notebook - Size: 6.45 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 6 - Forks: 0

awnishc/DatabricksMLOps

Language: Jupyter Notebook - Size: 790 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

asghar-rizvi/Email-Spam-Detector-EDA-Model-Building-and-Flask-Integration

The Email Spam Detector project uses Python to identify spam emails. It leverages a Kaggle dataset for training, employs TfidfVectorizer for preprocessing, and selects a Naive Bayes model for its performance. The Flask-based web app features an HTML/CSS frontend for user input and spam classification.

Language: Jupyter Notebook - Size: 679 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Sayandip2023/SNUCV

This repository will contain the code and supplementary materials for my Streamlit sentiment detector Computer Vision model

Language: Jupyter Notebook - Size: 4.47 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

PiyushChaudhari99/Customer_Segmentation_Analysis

This repository build to showcase a project on customer personality analysis. In this I have classified the customer into two clusters.

Language: Jupyter Notebook - Size: 52 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

aditikhare007/Building-Production-Grade-LLMs

Aditi @ Building Production Grade LLMs - * Thank you AI community for visiting my repository - Stay tuned for awesome Dev-ops AI Learning Resources ** ** If you find the repository useful please give it a star - Thank you for visiting my repository - Happy Learning **

Size: 8.79 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 0

RAHAN-REZA/Fraud-Detection-System-for-E-commerce

Fraud Detection for E-commerce: Employing Python, ML, NLP, and Power BI, create an end-to-end analytics system. Analyze transactions to prevent fraud, utilizing cloud computing for scalability. Deploy a robust solution for e-commerce security.

Language: Python - Size: 7.21 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Pramod9222/liver-patient-prediction-ML-Project

Liver Disease Prediction Using ML Models. This is a Machine Learning project predicting Liver Disease i also provide model deployment , Pramod kusmude

Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

osamabinamer/Churn-Prediction-using-Logostic-Regression-and-Streamlit

Streamlit Churn Predictor: A concise and impactful repository housing a Streamlit-based churn prediction application. Utilizes logistic regression to analyze customer data, offering businesses a powerful tool for identifying and addressing potential customer churn.

Language: Jupyter Notebook - Size: 238 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0