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DBMS stands for Database Management System. It is a software that manages databases and allows users to interact with them.
DBMS helps in organizing and storing data efficiently.
It provides data security by controlling access to the database.
DBMS allows for data consistency and integrity through features like transactions and constraints.
It enables data sharing and collaboration among multiple users.
Examples of popular ...
Computer networking is the practice of connecting computers and other devices to share resources and information.
Computer networking involves the use of hardware (such as routers, switches, and cables) and software (such as protocols and operating systems).
It allows devices to communicate with each other, share data, and access resources like printers and internet connections.
Examples of computer networking technologie...
TCP (Transmission Control Protocol) is a communication protocol that ensures reliable and ordered delivery of data packets over a network.
TCP is a connection-oriented protocol
It provides error-checking and data integrity
TCP uses a three-way handshake for connection establishment
Examples of applications that use TCP include web browsing, email, and file transfer
Probability is a measure of the likelihood that an event will occur.
Probability ranges from 0 (impossible) to 1 (certain)
It is often calculated by dividing the number of favorable outcomes by the total number of possible outcomes
Example: The probability of rolling a 6 on a fair six-sided die is 1/6 or approximately 0.167
TCP (Transmission Control Protocol) is a communication protocol that ensures reliable and ordered delivery of data packets over a network.
TCP is one of the main protocols in the Internet protocol suite.
It provides error-checking, sequencing, and flow control to ensure data integrity and reliability.
TCP establishes a connection-oriented communication between two devices before data transfer.
Examples of applications usin...
Top trending discussions
Recent Topics oriented with Market, Business, Finance and budgets
posted on 23 Feb 2024
I applied via Campus Placement and was interviewed before Feb 2023. There was 1 interview round.
posted on 30 Dec 2024
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posted on 13 Mar 2021
I applied via Naukri.com and was interviewed before Mar 2020. There were 3 interview rounds.
My favourite tool in Excel is the PivotTable.
PivotTable helps to summarize and analyze large amounts of data quickly.
It allows for easy filtering, sorting, and grouping of data.
PivotTable also provides visual representation of data through charts and graphs.
It can be used for various purposes such as financial analysis, sales analysis, and inventory management.
Trend and forecasting can be calculated using statistical methods like regression analysis and time series analysis.
Collect and analyze historical data
Identify patterns and trends in the data
Choose a suitable forecasting model
Apply the model to the data to generate a forecast
Evaluate the accuracy of the forecast
posted on 24 Jun 2022
I applied via Campus Placement and was interviewed before Jun 2021. There were 3 interview rounds.
Basic aptitude test
posted on 27 Sep 2024
I applied via Campus Placement
General Aptitude Questions
PayTM bank closed. What went wrong with paytm:?
This content pertains to basic joins in SQL queries.
posted on 6 Sep 2021
I applied via Recruitment Consultant and was interviewed in Mar 2021. There were 4 interview rounds.
I am very familiar with Python, SQL, and ML models.
I have extensive experience using Python for data analysis and machine learning tasks.
I am proficient in writing SQL queries to extract data from databases.
I have worked with a variety of ML models, including regression, classification, and clustering.
I am familiar with popular ML libraries such as scikit-learn, TensorFlow, and Keras.
I have experience with data preproc...
ML classification models use various metrics to evaluate performance.
Common metrics include accuracy, precision, recall, F1 score, and AUC-ROC.
Accuracy measures the proportion of correct predictions.
Precision measures the proportion of true positives among all positive predictions.
Recall measures the proportion of true positives among all actual positives.
F1 score is the harmonic mean of precision and recall.
AUC-ROC me...
Outliers can significantly impact analysis. It's important to identify and handle them appropriately.
Visualize the data to identify outliers
Consider the source of the outliers and whether they are valid data points
Remove outliers if they are invalid or use robust statistical methods that are less sensitive to outliers
Document any handling of outliers in the analysis report
The organization used descriptive and inferential statistics to analyze and build models.
Descriptive statistics were used to summarize and describe the data, such as mean, median, and standard deviation.
Inferential statistics were used to make predictions and draw conclusions about the population based on the sample data, such as hypothesis testing and regression analysis.
The organization may have also used time series...
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