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Document 1
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Logistic RegressionLecture1.1
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Part1: Logistic Regression-Theory 6
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1. IntroductionLecture2.101 hour 02 min
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2. What is Logistic Regression ?Lecture2.220 min
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3. State & How to create modelLecture2.358 min
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4. Proof & When will we use Logistic Regression ?Lecture2.420 min
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5. ตัวอย่างการคำนวณ Logistic RegressionLecture2.538 min
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6. Code & ExampleLecture2.640 min
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Part2: Multinomial Logistic Regression-Theory 5
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7. Theory : What is Multinomial Logistic Regression ?Lecture3.130 min
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8. StateLecture3.201 hour 02 min
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9. Theory : How to create model & ProofLecture3.332 min
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10. ตัวอย่างการคำนวณ Multinomial Logistic RegressionLecture3.431 min
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11. Code & ExampleLecture3.510 min
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Part3: Normalization 1
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12. NormalizationLecture4.152 min
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Part4: Basic Knowledge 5
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13. DerivativeLecture5.115 min
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14. Chain RuleLecture5.212 min
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15. MatrrixLecture5.318 min
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16. PythonLecture5.401 hour 06 min
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17. NumpyLecture5.535 min
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