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Subtitle Guide – Hướng dẫn thêm phụ đề
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01 – Introduction
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02 – Machine Learning 101
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03 – Machine Learning and Data Science Framework
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04 – The 2 Paths
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05 – Data Science Environment Setup
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06 – Pandas Data Analysis
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07 – NumPy
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08 – Matplotlib Plotting and Data Visualization
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09 – Scikit-learn Creating Machine Learning Models
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10 – Supervised Learning Classification + Regression
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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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19 – Extra Learn Advanced Statistics and Mathematics for FREE!
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20 – Where To Go From Here
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21 – BONUS SECTION
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