sentiment-analyzer

Sentiment Classification using lightgbm, tracked with MLflow in AWS EC2 instance, ML pipeline with DVC

1. Create a conda environment after cloning the repository

conda create -n sen-analyzer-cenv python=3.11 -y

conda activate sen-analyzer-cenv

2. install the requirements

pip install -r requirements.txt

5 Steps in DVC pipeline

1. Data Ingestion
2. Data Preprocessing
3. Model Building
4. Model Evaluation
5. Model Registration

DVC Commands

dvc init
dvc repro
dvc dag