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MindGate Solutions
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I applied via Walk-in and was interviewed before Oct 2023. There was 1 interview round.
Proficiency in cloud technology is essential for data scientists to efficiently store, manage, and analyze large datasets.
Experience with cloud platforms like AWS, Azure, or Google Cloud
Knowledge of cloud storage solutions like S3, Blob Storage, or Cloud Storage
Understanding of cloud computing concepts like virtual machines, containers, and serverless computing
Ability to work with big data technologies like Hadoop, Spa
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PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.
PCA is used to reduce the number of variables in a dataset while retaining the most important information.
Decision trees are used to classify data based on a set of rules and conditions.
Computer vision involves usin...
I applied via Company Website and was interviewed before Jan 2020. There was 1 interview round.
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.
Data science is the field of extracting insights and knowledge from data using various techniques and tools.
Data science involves collecting, cleaning, and analyzing data to extract insights.
It uses various techniques such as machine learning, statistical modeling, and data visualization.
Data science is used in various fields such as finance, healthcare, and marketing.
Examples of data science applications include fraud...
Python and R are programming languages commonly used in data science and statistical analysis.
Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.
R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.
Both languages are popular choices for data scientists and hav...
I applied via Job Portal and was interviewed before Feb 2023. There was 1 interview round.
Hyperparameters in random forest are parameters that are set before the learning process begins.
Hyperparameters control the behavior of the random forest algorithm.
They are set by the data scientist and are not learned from the data.
Examples of hyperparameters in random forest include the number of trees, the maximum depth of trees, and the number of features considered at each split.
A QnA system with LLM is a system that uses the Language Model for Information Retrieval and Question Answering.
Preprocess the input question and convert it into a format suitable for the LLM model.
Fine-tune the LLM model on a dataset of question-answer pairs.
Use the fine-tuned model to generate answers for new questions.
Evaluate the performance of the QnA system using metrics like precision, recall, and F1 score.
Itera...
Unit testing is a process of testing individual units of code to ensure they function correctly.
Write test cases for each unit of code
Test inputs, outputs, and edge cases
Use testing frameworks like JUnit or pytest
Automate tests to run regularly
Ensure tests are independent, isolated, and repeatable
I applied via Company Website and was interviewed in Nov 2023. There was 1 interview round.
I have worked on various projects involving machine learning algorithms, hyperparameter tuning, cross validation, and evaluation metrics.
Developed a predictive model for customer churn using logistic regression and decision trees
Used random forest algorithm for image classification in a computer vision project
Implemented hyperparameter tuning using grid search and randomized search for a sentiment analysis project
Evalu...
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