Learn to integrate MLFLOW, DVC, and Docker for shipment price prediction

Understand the fundamentals of MLFLOW, DVC, and Docker and how they can be leveraged for building a smart shipment price prediction system.

Collect and preprocess real-time shipment data

Gain hands-on experience in collecting and preprocessing real-time shipment data to create a clean dataset for training your machine learning models.

Build and train machine learning models

Discover various machine learning algorithms and techniques to build accurate models for predicting shipment prices based on historical and real-time data.

Optimize models with MLFLOW tracking and automatic hyperparameter tuning

Learn how to leverage MLFLOW's tracking capabilities and automate hyperparameter tuning to optimize your machine learning models for better prediction performance.

Develop a scalable and reproducible ML pipeline with DVC

Master DVC (Data Version Control) and create a scalable and reproducible ML pipeline that manages your data, models, and experiments efficiently.

Containerize and deploy your prediction system with Docker

Explore Docker and containerization techniques to package your prediction system into a portable and self-contained application for easy deployment and management.