Dallas Technologies Data Analytics Intern Interview Questions, Process, and Tips

Q1. Define Data Science & analytics?.
Ans. 
Data Science is the field of study that uses scientific methods, algorithms, and systems to extract knowledge and insights from data.
• Data Science involves collecting, analyzing, and interpreting large amounts of data to make informed decisions.

• It combines statistics, machine learning, and computer science to uncover patterns and trends in data.

• Data Analytics focuses on analyzing data to draw conclusions and make recomm...read more
Answered by AI
Add your answer
Q2. What is neural network?
Ans. 
Neural network is a type of machine learning algorithm inspired by the human brain's neural network structure.
• Neural network consists of layers of interconnected nodes (neurons) that process information.

• It can be used for tasks like image recognition, natural language processing, and predictive analytics.

• Common types of neural networks include feedforward, convolutional, and recurrent neural networks.
Answered by AI
Add your answer
Q3. Define Regression and classification?
Ans. 
Regression predicts continuous outcomes, while classification predicts categorical outcomes.
• Regression is used to predict continuous values based on input features.

• Classification is used to predict categories or classes based on input features.

• Examples of regression include predicting house prices based on features like size and location.

• Examples of classification include predicting whether an email is spam or not base
Answered by AI
Add your answer

Python pandas through data analytics.
Power Bi?

Q1. What is interpreted language?
Ans. 
Interpreted language is executed line by line at runtime, without the need for compilation.
• Code is translated and executed on the fly

• Errors are found during runtime

• Examples: Python, JavaScript, Ruby
Answered by AI
Add your answer
Q2. Define perceptron?(Ann,Cnn and Rnn)
Ans. 
Perceptron is a type of artificial neuron used in machine learning for binary classification.
• Perceptron is the simplest form of neural network.

• It takes input values, applies weights, sums them up, and passes the result through an activation function.

• It is used for binary classification tasks, where it predicts whether an input belongs to one class or another.

• Examples include single-layer perceptrons and multi-layer per
Answered by AI
Add your answer

Python,r,c,c++,sql related test