- Section 1 - Concepts and workflow 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 the work
mughees-asif / machinelearning-datascience-projects Goto Github PK
View Code? Open in Web Editor NEWProjects from Machine Learning and Data Science online course.