MLOps Assignment 1 – House Price Prediction

This project implements a complete ML workflow for predicting house prices using the Boston Housing dataset.
The assignment is structured into multiple branches as required:

• main → Contains this README and merged code.
• dtree → Contains DecisionTreeRegressor implementation (train.py).
• kernelridge → Contains KernelRidge implementation (train2.py) and CI pipeline.

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🔧 Setup Instructions

1.Create and Activate Conda environment

conda create --name miniconda_env conda activate miniconda_env

###2. Install dependencies pip install -r requirements.txt

###3.Run a model python train.py

###4. kernelridge python train2.py