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https://github.com/sidhyaashu/end-to-end-ml-implementation


https://github.com/sidhyaashu/end-to-end-ml-implementation

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# END TO END ML PROJECT
# EDA task upto you i'm just focusing end to end implementation

# HOW TO RUN ?
### STEPS:

```bash
conda create -n mlenv python=3.8 -y

```

```bash
conda activate mlenv

```

```bash
pip install -r requirements.txt

```

```bash
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