Codelogicx Technologies Data Scientist and Machine Learning Engineer Interview Questions and Answers

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

• Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.

• It assumes a linear relationship between the independent and dependent variables.

• The goal of linear regression is to find the best-fitting line that repres...read more

Loss function measures the inconsistency between predicted values and actual values in a machine learning model.

• Loss function quantifies how well a model is performing by calculating the error between predicted and actual values

• Common loss functions include Mean Squared Error (MSE), Cross Entropy Loss, and Hinge Loss

• The goal is to minimize the loss function to improve the accuracy of the model

• Different types of machine...read more