/ztm__data_science_machine_learning

This repository contains all the data science and machine learning work that I did during the Zero to Mastery: Data Science and Machine Learning course.

Primary LanguageJupyter Notebook

ztm-data-science-machine-learning

This repository contains all the data science and machine learning work that I did during the Zero to Mastery: Data Science and Machine Learning course.

What this course focuses on

  1. Create a framework for working through problems (6 step machine learning modelling framework)
  2. Find tools to fit the framework
  3. Targeted practice = use tools and framework steps to work on end-to-end machine learning modelling projects

How this course is structured

  • Section 1 - Getting your mind and computer ready for machine learning (concepts, computer setup)
  • Section 2 - Tools for machine learning and data science (pandas, NumPy, Matplotlib, Scikit-Learn)
  • Section 3 - End-to-end structured data projects (classification and regression)
  • Section 4 - Neural networks, deep learning and transfer learning with TensorFlow 2.0
  • Section 5 - Communicating and sharing your work