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
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