372. MNIST Preprocess the Data - Create a Validation Set and Scale It | Skyhighes | Data Science
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488. Preparing the Deployment of the Model through a Module | Skyhighes | Data Science
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441. Importing the Absenteeism Data in Python | Skyhighes | Data Science
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396. An overview of CNNs | Skyhighes | Data Science
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380. MNIST Testing the Model | Skyhighes | Data Science
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376. MNIST Outline the Model | Skyhighes | Data Science
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377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science
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383. Business Case Balancing the Dataset | Skyhighes | Data Science
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382. Business Case Outlining the Solution | 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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357. Stochastic Gradient Descent | Skyhighes | Data Science
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359. Momentum | Skyhighes | Data Science
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355. Types of Simple Initializations | Skyhighes | Data Science
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367. Preprocessing Categorical Data | Skyhighes | Data Science
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366. Standardization | Skyhighes | Data Science
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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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