Question: 1. Explain Logistic Regression with an example. Derive the cost function from sigmoid to log loss. 2. What is bias, variance, underfitting, and overfitting? Explain

1. Explain Logistic Regression with an example. Derive the cost function from sigmoid to log loss. 2. What is bias, variance, underfitting, and overfitting? Explain the Bias-Variance Tradeoff with figures. 3. What is Boosting? Explain AdaBoost in detail with figures. 4. Explain cross validation and its workflow? Explain k-fold cross validation, and write the pseudocode of k-fold cross validation 5. Explain Ridge and Lasso Regression? 6. What is maximum likelihood? Discuss Softmax Regression?

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