1. Introduction to Machine Learning
  2. Problem Formulation in Machine Learning
  3. Data Acquisition and Cleaning
  4. Exploratory Data Analysis
  5. Model Building and Tuning
  6. Taking Our Model into Production
  7. Data Analytics Use Case
  8. Building a Custom Image Classifier from Scratch
  9. Building a News Summarization App Using Transformers
  10. Multiple Inputs and Multiple Output Models
  11. Contributing to the Community
  12. Creating Your Project
  13. Crash Course in Numpy, Matplotlib, and Pandas
  14. Crash Course in Linear Algebra and Statistics
  15. Crash Course in FastAPI