Modal LLM LLama.cpp based model deployment as part of series of Model as a Service (MaaS)
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Updated
Jan 10, 2025 - Python
Modal LLM LLama.cpp based model deployment as part of series of Model as a Service (MaaS)
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.
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 **
Prediction of home price in Azerbaijan
This project involves the development of a complete ML pipeline with tracking and deployment capabilities.
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.
ML Model- Laptop Price Predictor --- https://huggingface.co/spaces/Harsh2527/LaptopPricePredictoModel
The objective of this project is to develop a machine learning model and deploy it as a user-friendly web application that predicts the resale prices of flats in Singapore.
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.
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.
This repository build to showcase a project on customer personality analysis. In this I have classified the customer into two clusters.
This repository contains files from a client project aimed at developing a Streamlit app for predicting sentiment in Spotify reviews in Indonesian and English.
UP-Votes predictions
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.
Classification of traffic signals using gradio interface.
Internship in Codeway Solution Company
Churn_prediction
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