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.

Economic Twitter Data Analysis

Minimal MLOps regression skeleton (California Housing) with training pipeline, Evidently drift/performance report, FastAPI prediction service, Dockerized training/serving environments, ready for CI/CD extension

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.

End-to-end NLP engineering pipeline that extracts entities and relations from research papers and constructs a Neo4j knowledge graph with evaluation and link prediction.

A Streamlit-based ML toolkit for data exploration, preprocessing, and classification. Supports custom datasets, model training (CNN, SVM, etc.), and interactive visualization — ideal for rapid prototyping and educational use.

End-to-end ML pipeline with DVC for data versioning, model tracking, and reproducible experiments. Automates preprocessing, training, and deployment using modular stages with full pipeline reproducibility.

This project is an end-to-end machine learning pipeline for predicting housing prices in California.

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.

A machine learning project for predicting the chances of having a stroke

End-to-end ml pipeline with sagemaker for detecting fake-news with BERT

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.

This is about the machine learning model development practical exam completed for the Datacamp Certification of Data Scientist.

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.