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   382. Business Case Outlining the Solution | Skyhighes | Data Science

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   324. Optimization Algorithm n-Parameter Gradient Descent | Skyhighes | Data Science

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   323. Optimization Algorithm 1-Parameter Gradient Descent | Skyhighes | Data Science

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   370. MNIST How to Tackle the MNIST | Skyhighes | Data Science

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   369. MNIST The Dataset | Skyhighes | Data Science

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   368. Binary and One-Hot Encoding | Skyhighes | Data Science

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   380. MNIST Testing the Model | Skyhighes | Data Science

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8. 

   9 months ago

   376. MNIST Outline the Model | Skyhighes | Data Science

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9. 

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   377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

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10. 

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    396. An overview of CNNs | Skyhighes | Data Science

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11. 

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    367. Preprocessing Categorical Data | Skyhighes | Data Science

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12. 

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    366. Standardization | Skyhighes | Data Science

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13. 

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    365. Types of Basic Preprocessing | Skyhighes | Data Science

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    364. Preprocessing Introduction | Skyhighes | Data Science

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15. 

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    315. Types of Machine Learning | Skyhighes | Data Science

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16. 

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    314. Training the Model | Skyhighes | Data Science

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17. 

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    442. Checking the Content of the Data Set | Skyhighes | Data Science

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18. 

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    455. Classifying the Various Reasons for Absence | Skyhighes | Data Science

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19. 

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    450. Obtaining Dummies from a Single Feature | Skyhighes | Data Science

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20. 

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    459. Reordering Columns in a Pandas DataFrame in Python | Skyhighes | Data Science

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21. 

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    357. Stochastic Gradient Descent | Skyhighes | Data Science

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22. 

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    359. Momentum | Skyhighes | Data Science

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    9 months ago

    355. Types of Simple Initializations | Skyhighes | Data Science

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24. 

    9 months ago

    439. Introducing the Data Set | Skyhighes | Data Science

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    9 months ago

    438. The Business Task | Skyhighes | Data Science

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