Sony Data Science Intern Interview Questions and Answers for Freshers

Developed predictive models for customer churn and sales forecasting using machine learning algorithms.

• Built a customer churn prediction model using logistic regression and random forest algorithms.

• Implemented a time series forecasting model for sales prediction using ARIMA and LSTM neural networks.

• Utilized Python libraries such as pandas, scikit-learn, and TensorFlow for data preprocessing and model building.

GANs are Generative Adversarial Networks, a type of deep learning model consisting of two neural networks - a generator and a discriminator.

• GANs are used to generate new data samples that resemble a given dataset.

• The generator network creates fake data samples, while the discriminator network tries to distinguish between real and fake samples.

• The two networks are trained simultaneously in a competitive manner, improvin...read more

Yes, I have published a research paper on the topic of machine learning algorithms for predictive analytics.

• Published research paper on machine learning algorithms

• Focused on predictive analytics

• Presented findings at a data science conference

Neural networks are a type of machine learning algorithm inspired by the human brain's neural structure.

• Neural networks consist of layers of interconnected nodes (neurons) that process input data and pass it through activation functions.

• They use weights to adjust the strength of connections between neurons during training.

• Neural networks are capable of learning complex patterns and relationships in data, making them su...read more