LTIMindtree Data Scientist Interview Questions and Answers

Data scientists analyze data to extract insights, build models, and support decision-making across various industries.

• Data Collection: Gathering data from various sources like databases, APIs, or web scraping.

• Data Cleaning: Removing inconsistencies and handling missing values to ensure data quality.

• Exploratory Data Analysis (EDA): Using statistical methods and visualization tools to understand data patterns.

• Model ...read more

Random forest uses feature importance to select the most relevant features for prediction.

• Random forest calculates feature importance based on how much each feature decreases impurity in the model

• Features with higher importance are considered more relevant for prediction

• Random forest can automatically handle feature selection by using only the most important features

• Example: In a random forest model predicting cus...read more

The .py files contain Python code, while the .pyc files are compiled bytecode files generated by Python when a .py file is imported.

• The .py files are human-readable text files containing Python code.

• The .pyc files are compiled bytecode files created by Python to improve execution speed.

• The .pyc files are automatically generated by Python when a .py file is imported.

• The .pyc files are platform-independent and can b...read more

RNN is a type of neural network that processes sequential data. LSTM is a type of RNN that can learn long-term dependencies.

• RNN stands for Recurrent Neural Network and is designed to handle sequential data by maintaining a hidden state that captures information about previous inputs.

• LSTM stands for Long Short-Term Memory and is a type of RNN that addresses the vanishing gradient problem by introducing a memory cel...read more

Model evaluation is crucial in ML pipeline to assess the performance and generalization of the model.

• Helps in selecting the best model for the given problem by comparing different models based on metrics like accuracy, precision, recall, etc.

• Prevents overfitting by checking if the model is performing well on unseen data.

• Guides in fine-tuning hyperparameters to improve model performance.

• Enables understanding of mod...read more

Code for parsing a triangle

• Use a loop to iterate through each line of the triangle

• Split each line into an array of numbers

• Store the parsed numbers in a 2D array or a list of lists

The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.

• ASCII values range from 65 to 90 for capital letters A to Z.

• ASCII values range from 97 to 122 for small letters a to z.

• For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.

NLP stands for Natural Language Processing, while CNN refers to Convolutional Neural Networks.

• NLP is a branch of artificial intelligence that focuses on the interaction between computers and humans using natural language.

• CNN is a type of deep learning algorithm commonly used for image recognition and classification tasks.

• CNNs are also used in NLP for tasks like text classification and sentiment analysis.