Notebooks

Data science and AI are becoming increasingly important and relevant in the industry. I am not a data scientist nor do I claim to be an expert in data science. This is a project I started to learn, appreciate, and capture some basic concepts in data science and AI in the form of Jupyter Notebooks.

• Basics
  • CSV import
• Plot
  • Scatter plot
• Machine Learning
  • Training and test datasets
  • Simple classification
  • Perceptron
  • Single- and multi-layer perceptron

Credits

• Fortune 500 Data - we use the Fortune 500 companies data in CSV format for some the notebooks. Courtesy of DataQuest.
• DataQuest: Jupyter Notebook Tutorial

Reference

• Jupyter
• Scikit-Learn - Machine learning library for Python