MathCo Junior Data Analyst Interview Questions and Answers

Overfitting in decision trees occurs when the model learns noise in the training data rather than the underlying pattern.

• Overfitting happens when the decision tree is too complex and captures noise in the training data.

• It leads to poor generalization on unseen data, as the model is too specific to the training set.

• To prevent overfitting, techniques like pruning, setting a minimum number of samples per leaf, or using en

Bagging is a machine learning ensemble technique where multiple models are trained on different subsets of the training data and their predictions are combined.

• Bagging stands for Bootstrap Aggregating.

• It helps reduce overfitting by combining the predictions of multiple models.

• Random Forest is a popular algorithm that uses bagging by training multiple decision trees on random subsets of the data.

A neuron is a basic unit of a neural network that receives input, processes it, and produces an output.

• Neurons are inspired by biological neurons in the human brain.

• They receive input signals, apply weights to them, sum them up, and pass the result through an activation function.

• Neurons are organized in layers in a neural network, with each layer performing specific tasks.

• In deep learning, multiple layers of neurons ar...read more