What statistics should I know to do data science?
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2
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500
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13 February 2022
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How can you choose a classifier based on a training set size?
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2
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4541
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10 February 2022
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What are the problems noted when using AU-ROC curve
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2
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405
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8 August 2021
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When should we reject the null-hypothesis?
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2
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638
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8 August 2021
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Why is naive Bayes called ‘naive’?
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2
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465
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8 August 2021
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Explain the Bias-Variance Tradeoff
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2
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383
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8 August 2021
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Explain the parametric models with an example
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2
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391
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8 August 2021
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How do you decide hyperparameters in the dataset
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2
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418
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8 August 2021
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What is correlation and covariance in statistics
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2
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542
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8 August 2021
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Why do we use harmonic in f1-score?
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2
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454
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8 August 2021
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What is the Box-Cox transformation used for?
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2
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389
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8 August 2021
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What is an Activation Function and its types?
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2
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440
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8 August 2021
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What is maximum likelihood estimation?
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2
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439
|
8 August 2021
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What is the confusion matrix?
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2
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493
|
8 August 2021
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How much data should you allocate for your training, validation, and test sets?
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2
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666
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7 August 2021
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How can you help the marketing team be more efficient using data?
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2
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399
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7 August 2021
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What is dropout in deep learning?
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2
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425
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7 August 2021
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Bias - Variance trade-off
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2
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491
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31 July 2021
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Explain linear regression
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2
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551
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31 July 2021
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What is stochastic gradient descent?
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2
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401
|
31 July 2021
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Why do we have different cost functions for linear and logistic regression?
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2
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464
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31 July 2021
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What is min-max normalization? Where do we use it?
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2
|
559
|
31 July 2021
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Define the sigmoid function
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2
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470
|
29 July 2021
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What is gradient descent?
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2
|
412
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28 July 2021
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What are Type 1 and Type 2 error?
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2
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482
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30 June 2021
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Can I be a data scientist without math or stats?
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1
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470
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30 June 2021
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What is Hypothesis testing?
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2
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473
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30 June 2021
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Explain the Bayes theorem
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2
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444
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29 June 2021
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When would you use GD over SDG, and vice-versa?
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1
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567
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14 August 2020
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What is the difference between stochastic gradient descent (SGD) and gradient descent (GD)?
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|
1
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416
|
14 August 2020
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