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  1. What are the key steps in building a predictive model?

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  2. What does SEO entail in digital marketing strategies?

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    Priyanka commented  · 

    Learn the fundamentals of statistics and Python/R before moving on to data science. Use Matplotlib/Seaborn for data visualisation and Pandas for data processing practice. Study model evaluation, machine learning techniques, and big data technologies such as Hadoop and Spark. For more difficult jobs, dive into deep learning with TensorFlow/PyTorch. Complete tasks, take part in contests, and keep up with online groups and resources to promote lifelong learning.
    Enroll: https://www.theiotacademy.co/advanced-certification-in-data-science-machine-learning-and-iot-by-eict-iitg

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  3. Name a popular microcontroller platform for embedded system development.

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  4. How does edge computing address data privacy and security concerns?

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  5. How does SEO impact online visibility and search rankings?

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  6. How does machine learning improve data analysis and decision-making processes?

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  7. What topics are covered in your digital marketing course?

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  8. What role does AI play in personalized email marketing?

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  9. What is the primary goal of digital marketing strategies?

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  10. How can understand the importance of A/B testing in Facebook marketing?

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  11. What defines IoT technology and its primary purpose?

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  12. What are common SQL injection vulnerabilities when using Python? -

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  13. What are the Key Differences Between Java or Python

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  14. What role do programming languages like Python and tools like SQL play in data analyst training?

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  15. How can I work in data science?

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  16. What does SMO involve in digital marketing strategies?

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  17. How machine learning(ML) combined with exploratory data analysis (EDA)?

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  18. Why is digital marketing important?

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  19. How does AI enhance medical care and diagnosis effectively?

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  20. Top 5 Demanding IT Skills in 2024

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