ReagentX / numpy_practice

Solutions to the lessons on Machine Learning Plus's 101 Numpy Exercises blog post

101 NumPy Exercises for Data Analysis

These lessons are from the Machine Learning Plus blog. The filenames in the scripts directory are the lesson numbers.

Running these files

After setting up a virtual environment with python3 -m venv /path/to/new/virtual/environment, clone this repository and install NumPy, Pandas, and Scikit using pip. After that, each lesson should run without any modification. Make sure you activate the virtual environment before running any code.

Notes

• All lessons are answered and commented. Some lessons include Pandas and Scikit examples as well.
• As of this writing, there were only 70 lessons of the 101 mentioned in the blog post's title.
• Lesson 49 seems especially silly, if a better solution exists please open an issue or pull request.
• Lesson 53 uses a very different solution than that given in the blog post.
• Lesson 58 uses a very different solution than that given in the blog post.
• Lesson 60 requires installation of requests and image, easily done through pip.
• Lesson 63 uses a very different solution than that given in the blog post.
• Lesson 67 uses a very different solution than that given in the blog post.
• Lesson 69 uses a very different solution than that given in the blog post.