Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python

©  Manohar Swamynathan 2019

M. SwamynathanMastering Machine Learning with Python in Six Stepshttps://doi.org/10.1007/978-1-4842-4947-5_7

7. Conclusion

Manohar Swamynathan¹ 

(1)

Bangalore, Karnataka, India

 

I hope you have enjoyed the six-step, simplified machine learning (ML) expedition. You started your learning journey with step 1, where you learned the core philosophy and key concepts of Python 3 programming language. In step 2 you learned about ML history, high-level categories (supervised/unsupervised/reinforcement learning), and three important frameworks for building ML systems (SEMMA, CRISP-DM, KDD data mining process), primary data analysis packages (NumPy, Pandas, Matplotlib) and their key concepts, and comparison of different core ML libraries. ...