Скачать или смотреть Part 6 - Data Science Interview Questions | Most Asked Interview Questions

Part 6 - Data Science Interview Questions | Most Asked Interview Questions

How do you clean the data?
What are some techniques used for sampling?
What is the main advantage of sampling?
How do you build a random forest model?
Explain the steps in making a decision tree.
How do you find RMSE and MSE in a linear regression model?
How can outlier values be treated?
How can time-series data be declared as stationary?
What is A/B testing?
Explain ROC curve.

What is Cross-Validation, What is Over-fitting and Under-fitting,
What is re-sampling and when it is done, What is Natural Language Processing, What is the difference between Supervised and Unsupervised Learning, What is a Random Forest, What is a Decision Tree, What is a Neural Network, What is a Confusion Matrix, What is Regularization and its types

What is Data Science, What are the key elements of Data Science lifecycle, What are the advantages of Data Science, What are the different types of data, What are structured and unstructured data, What is Sampling in Data Science, What are the major categories of sampling, What are supervised and unsupervised learning, What is the difference between data analyst and data scientist, What is the differences between big data and Data Science,

Data Science is an interdisciplinary field that involves the use of statistical and computational methods to extract insights and knowledge from data. It encompasses a wide range of activities, including data collection, cleaning, analysis, and visualization, as well as the development of machine learning models and algorithms.

On the other hand, a Data Scientist is a professional who uses their expertise in data science to solve real-world problems. They typically have a strong background in statistics, mathematics, and computer science, as well as domain-specific knowledge in a particular field, such as healthcare, finance, or marketing.

In summary, Data Science refers to the broader field of data analysis and modeling, while Data Scientists are the individuals who apply these techniques to solve specific problems and create value for businesses and organizations.

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