Insurance Premium Prediction is an Machine Learning Project which predicts Insurance premium price based on some Input data.
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Updated
Dec 21, 2023 - Jupyter Notebook
Insurance Premium Prediction is an Machine Learning Project which predicts Insurance premium price based on some Input data.
A Sound Processing Pipeline for Detecting Elephant Rumbles using Wavelet Transformation.
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This repository showcases how to build a machine learning pipeline for predicting diabetes in patients using PySpark and MLflow, and how to deploy it using Azure Databricks.
The data in this project was collected in a database using Apache Kafka and processed with Apache Spark Streaming. The project aims to create a forecasting model and analyze sales forecasts per customer.
In today's fast-paced world, efficient food delivery is crucial. This project presents a robust and modular end-to-end machine learning pipeline designed to predict food delivery times. By leveraging a rich dataset containing delivery personnel details, restaurant locations, order information, and environmental factors like weather and traffic.
An end-to-end Machine Learning pipeline using DVC, MLflow, and DagsHub
I was just applying things that i learnt.(End-to-End).Well it does basically what the name says with 97% accuracy ig.
A machine learning project for predicting the chances of having a stroke
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