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Model performance can be checked using various metrics such as accuracy, precision, recall, F1 score, and confusion matrix.
Split data into training and testing sets
Train the model on the training set
Evaluate the model on the testing set using metrics such as accuracy, precision, recall, F1 score, and confusion matrix
If the model performs well on the testing set, it is not overfit or underfit
If the model performs well o...
Python code for 45 mins. Pandas , group by , filtering questions
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I applied via Recruitment Consulltant and was interviewed before Aug 2021. There was 1 interview round.
CNN is used for image recognition while MLP is used for general classification tasks.
CNN uses convolutional layers to extract features from images while MLP uses fully connected layers.
CNN is better suited for tasks that require spatial understanding like object detection while MLP is better for tabular data.
CNN has fewer parameters than MLP due to weight sharing in convolutional layers.
CNN can handle input of varying
Find second max in list, cal moving avg of a df
I applied via Approached by Company and was interviewed before Sep 2021. There were 3 interview rounds.
I applied via LinkedIn and was interviewed in Jul 2024. There were 3 interview rounds.
Assignment on credit risk
Python coding question and ML question
I applied via Company Website and was interviewed in Dec 2023. There was 1 interview round.
Strong DSA required to crack this Interview
I was asked Python, sql, coding questions
Case study on how would you identify the total number of footfall on a airport
Softmax and sigmoid are both activation functions used in neural networks.
Softmax is used for multi-class classification problems, while sigmoid is used for binary classification problems.
Softmax outputs a probability distribution over the classes, while sigmoid outputs a probability for a single class.
Softmax ensures that the sum of the probabilities of all classes is 1, while sigmoid does not.
Softmax is more sensitiv...
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
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