END TO END ML PROJECT

EDA task upto you i'm just focusing end to end implementation

HOW TO RUN ?

STEPS:

conda create -n mlenv python=3.8 -y

conda activate mlenv

pip install -r requirements.txt

python app.py

After setup architecture and install requirements

1. Notebook expriment
2. we will setup - Logging , Exceptions , utilis 
3. project workflow

Workflow

1. update config.yaml
2. update schema.yaml
3. update params.yaml
4. update the entity 
5. update the configuration manager in src config
6. update the components
7. update the pipeline
8. update the main.py
9. update the app.py

Steps

1. Data ingestion
2. Data Validation

Deep dive

1. Download data from github
2. Data Validation
3. Data Transform