Amelia Data Science Engineer Interview Questions and Answers

Q1. What is Linear regression
Add your answer
Q2. What li list and tuple
Add your answer
Q3. Previous company project experience
Add your answer

Q1. SQL and pandas coding
Add your answer
Q2. Resume projects deep dive
Add your answer

Q1. What is bias v variance tradeoff
Add your answer
Q2. When should bagging v boosting techniques be used
Add your answer

Q1. Explain about how recommendation engine work
Ans. 
Recommendation engines analyze user data to suggest items based on preferences and behavior.
• Recommendation engines use collaborative filtering to suggest items based on user behavior and preferences.

• They can also use content-based filtering to recommend items similar to ones the user has liked in the past.

• Some recommendation engines combine both collaborative and content-based filtering for more accurate suggestions.

• Ex...read more
Answered by AI
Add your answer

Q1. How can Logistic regression be applied for multiclasstext classification
Ans. 
Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.
• One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.

• Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.

• Evaluate the model using appropriate...read more
Answered by AI
Add your answer

Normal Case study regarding Predictive modelling

Q1. Ml Related questions
Add your answer
Q2. Basic ML and Project related questions
Add your answer

Q1. 1. diff between acf pacf
Ans. 
ACF measures the linear relationship between an observation and its lagged values. PACF measures the direct relationship.
• ACF (Autocorrelation Function) measures the correlation between an observation and its lagged values.

• PACF (Partial Autocorrelation Function) measures the correlation between an observation and its lagged values, while removing the indirect effects of intermediate lags.

• ACF is used to identify the orde...read more
Answered by AI
Add your answer

Basic mathematical and resoning questions.

Q1. Tell me about your self
Add your answer
Q2. Explain the recent project
Ans. 
Developed a predictive model for customer churn in a telecom company
• Collected and cleaned customer data including usage patterns and demographics

• Used machine learning algorithms such as logistic regression and random forest

• Evaluated model performance using metrics like accuracy and AUC-ROC curve
Answered by AI
Add your answer
Q3. What is the difference between random forest and decision tree
Ans. 
Random forest is an ensemble learning method that uses multiple decision trees to make predictions, while a decision tree is a single tree-like structure that makes decisions based on features.
• Random forest is a collection of decision trees that work together to make predictions.

• Decision tree is a single tree-like structure that makes decisions based on features.

• Random forest reduces overfitting by averaging the predic...read more
Answered by AI
Add your answer
Q4. What is cost function
Ans. 
A cost function is a mathematical formula used to measure the cost of a particular decision or set of decisions.
• Cost function helps in evaluating the performance of a model by measuring how well it is able to predict the outcomes.

• It is used in optimization problems to find the best solution that minimizes the cost.

• Examples include mean squared error in linear regression and cross-entropy loss in logistic regression.
Answered by AI
Add your answer