Fetched data from the data/real-state.csv and save into artifacts/DataIngestionArtifacts/data.csv
Steps covered: constants: Data Ingestion constants (2 constants) config entity: DataIngestionConfig class (2 components) artifacts entity: DataIngestionArtifacts class (raw_data_file_path, location of the dataset that are fetched from the source and saved into artifacts/DataIngestionArtifacts/data.csv) components: data ingestion - write the code that fetched the data from the source (data/Real-estate.csv) and save the data into the given location (artifacts/DataIngestionArtifacts/data.csv) and fetched the data path
Data Ingestion, Data Transformation, Model Trainer, Model Evaluation are done and running and produce artifacts
RUN: python src\pipeline\train_pipeline.py
command on activating the env, this runs perfectly and the accuracy save into the accuracy.json file.
artifacts and Logs are generated during the running
Code is saved on GitHub: https://github.com/ravi46931/Machine-Learning-Project-Template/