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### Difference Between Data Analytics and Machine Learning
1. **Purpose:**
- **Data Analytics:** Finds patterns and insights from data.
- **Machine Learning:** Learns from data to make predictions or decisions.
2. **Methods:**
- **Data Analytics:** Uses charts, graphs, and basic calculations.
- **Machine Learning:** Uses advanced algorithms to learn and predict.
3. **Outcome:**
- **Data Analytics:** Understands past data.
- **Machine Learning:** Predicts future events.
4. **Human Involvement:**
- **Data Analytics:** Needs human analysis.
- **Machine Learning:** Automates learning and predictions.
### Summary:
Data analytics helps understand past data, while machine learning predicts future outcomes by learning from data.
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