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Document 1
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Multiple RegressionLecture1.1
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Part1-Theory 10
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1. IntroductionLecture2.1
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2. What is Multiple Regression ? & StateLecture2.201 hour 02 min
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3. How to create model (Global)Lecture2.327 min
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4. Proof GlobalLecture2.442 min
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5. ตัวอย่างการคำนวณ Multiple Regression (Global)Lecture2.520 min
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6. When will we use Multiple Regression ? & Code & ExampleLecture2.601 hour 12 min
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7. รีวิวปัญหาของ GlobalLecture2.737 min
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8. How to create model (Local)Lecture2.827 min
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9. Proof LocalLecture2.921 min
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10. ตัวอย่างการคำนวณ Multiple Regression (Local)Lecture2.1038 min
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Part2-Code 4
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11. Code & ExampleLecture3.130 min
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12. NormalizationLecture3.252 min
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13. Example + NormalizationLecture3.302 min
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14. Error SurfaceLecture3.415 min
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Part3-Basic Knowledge 5
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15. DerivativeLecture4.115 min
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16. Chain RuleLecture4.212 min
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17. MatrrixLecture4.318 min
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18. PythonLecture4.401 hour 06 min
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19. NumpyLecture4.537 min
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