PureSoftware Data Scientist Interview Questions and Answers

Q1. Python programming, basic linear regression and logistic regression
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Q1. Linked list, dynamic programming questions
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Q1. Machine Learning algorithms
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Machine Learning algorithms are used to train models on data to make predictions or decisions without being explicitly programmed.
• Machine Learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.

• Examples of supervised learning algorithms include linear regression, decision trees, and support vector machines.

• Examples of unsupervised learning algorithms include k-means clustering, ...read more
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Q2. Overfitting and underfitting
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Q3. Questions related to the project
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Q1. Questions on project, how much time required for training model
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Q2. Version control, Flask/ Django, Cloud service experience
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Q1. Basic ML Question, Timesereis and RNN with some questions on Comp Vision
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Q1. Project driven. Some coding
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Q1. Salary Discussion
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Q1. Question regarding nlp,python,ml
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Q1. Tell me about scaling. ensemble techniques. precession, recall, f1 score, ROC AUC LSTM and RNN Feature selection and extraction optimization function loss functions word embedding word2vec tf-idf outliers...read more
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Aptitude, coding on python NLP

Python Data Frames, String list manipulation

Q1. Common discussion
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Q2. Salary location etc
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Q1. Concepts and tools
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Coding on the tools we use

Q1. Not cleared the round
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