From the course: Python: Working with Predictive Analytics

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From the course: Python: Working with Predictive Analytics

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Next steps

- [Isil] Congrats. You have completed the course. Thank you for the privilege of being your instructor and for surviving my metaphors. But this is just the beginning of a long and fun journey to predictive analytics. We scratched the surface using Python with regression problems and I encourage you to find a dataset at Kaggle.com and practice the steps you have learned during this class. Practice, practice, practice. Get your hands wet with as much data as you can. I highly recommend watching the data analytics and Python classes we have here at LinkedIn Learning. I also strongly recommend the book Hands On Machine Learning with Scikit-Learn and TensorFlow. Once you have a few projects completed on regression, a good next step would be to move on to classification algorithms. Read more on our helpful scikit-learn website we referenced throughout this course. Feel free to reach out to me on LinkedIn.com or from my tech consulting website at ibuniversal.com. See you next time and…

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