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Recent questions tagged go_yt_dpp_ml_day2

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GO Classes GATE DA | GOAT DPP Series | Machine Learning | DAY 2 | Question: 5
Consider the following two statements S1 and S2 about linear separability.$S1 :$ If we take any data set that is not linearly separable and remove a feature, it is still ...
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GO Classes GATE DA | GOAT DPP Series | Machine Learning | DAY 2 | Question: 4
Let $X \in \mathbb{R}^{n \times m}$ be a data matrix and $y \in \mathbb{R}^{n}$ the target vector. Suppose the leastsquares solution is $\hat{\mathbf{w}}$.Now define a ne...
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GO Classes GATE DA | GOAT DPP Series | Machine Learning | DAY 2 | Question: 3
Consider polynomial regression models of orders 1, 2, 10, and 12, trained on the same dataset. Higher-order models contain all the features of lower-order models.Let $E_{...
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GO Classes GATE DA | GOAT DPP Series | Machine Learning | DAY 2 | Question: 2
Suppose a linear regression model is trained using$$X \in \mathbb{R}^{N \times d}, \quad t \in \mathbb{R}^{N} .$$Now the dataset is duplicated to form$$X^{\prime}=\left[\...
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GO Classes GATE DA | GOAT DPP Series | Machine Learning | DAY 2 | Question: 1
In logistic regression, we predict Class 1 when$$\sigma\left(\mathbf{w}^{T} \mathbf{x}+b\right)>0.5$$What is the equation of the decision boundary?A. $\mathbf{w}^{T} \mat...
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