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1. Introduction
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2. Machine Learning 101
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3. Machine Learning and Data Science Framework
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4. The 2 Paths
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5. Data Science Environment Setup
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6. Pandas Data Analysis
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7. NumPy
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8. Matplotlib Plotting and Data Visualization
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9. Scikit-learn Creating Machine Learning Models
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11. Milestone Project 1 Supervised Learning (Classification)
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12. Milestone Project 2 Supervised Learning (Time Series Data)
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13. Data Engineering
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14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2
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15. Storytelling + Communication How To Present Your Work
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16. Career Advice + Extra Bits
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17. Learn Python
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18. Learn Python Part 2
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20. Where To Go From Here