Stephen Klosterman Data Science Projects with Python Reviews Summary

Ratings Breakdown

Rated 4.4 by 93 people

Pros from Reviews

  • Detailed walk-through of a Data Science project
  • Explains what exactly is happening in the code
  • Goes into detail on the Machine Learning process
  • Real world case studies
  • Quick way to learn industry recognized tools
  • Author writes and explains each code and outcome separately
  • Well written and explains every line of codes and concepts
  • Great for introducing practical data science in the real-world

Cons from Reviews

  • May not clarify or illuminate for everyone
  • Does not include unsupervised methods
  • May not be suitable for data analysis or visualization
  • Code does not work when downloaded
  • Printing quality is poor
  • Too much focus on machine learning
  • May be too introductory for experienced data scientists
  • Could include more materials on next steps and latest models

Notable Features

Real-World Data Science
Step-by-Step Exercises
Flexible Learning
You might also be interested in: