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posted on 31 Jan 2024
loc and iloc are methods in pandas used for selecting rows and columns by label or integer position.
loc is used for selecting rows and columns by label
iloc is used for selecting rows and columns by integer position
Example: df.loc[0:5, 'column_name']
Example: df.iloc[0:5, 2]
Vlookup is simpler and easier to use, while Index Match is more flexible and efficient.
Vlookup is easier for beginners to understand and use
Vlookup is quicker to set up and requires less formula writing
Index Match is more flexible as it can look up values in any column, not just the first one
Index Match is more efficient for large datasets as it does not require the entire column to be searched
BRD focuses on business requirements while FRD focuses on functional requirements.
BRD (Business Requirements Document) outlines the business problem that needs to be solved.
FRD (Functional Requirements Document) details how the system will meet the business requirements.
BRD is more high-level and focuses on the 'what', while FRD is more detailed and focuses on the 'how'.
BRD is typically created before FRD in the projec...
Retail experience and analysis
I have over 5 years of experience in retail industry analysis
Proficient in using data analytics tools to track sales trends and customer behavior
Implemented strategies based on market research to increase sales and customer satisfaction
Collaborated with cross-functional teams to optimize inventory management and pricing strategies
I applied via Campus Placement and was interviewed in Sep 2023. There were 3 interview rounds.
It was a simple group discussion in which we were 10 students the topic was given by the HR itself
I applied via Newspaper Ad and was interviewed in Dec 2023. There were 3 interview rounds.
It was nice experience. amazing
I applied via Campus Placement and was interviewed in Mar 2023. There were 4 interview rounds.
posted on 11 Dec 2022
I applied via Recruitment Consulltant and was interviewed in Jun 2022. There were 4 interview rounds.
Test time 35 min, based on Python SQL Stats
ML algorithms are mathematical models used to identify patterns and make predictions from data.
ML algorithms can be supervised, unsupervised, or semi-supervised
Supervised algorithms include linear regression, decision trees, and neural networks
Unsupervised algorithms include k-means clustering and principal component analysis
Semi-supervised algorithms combine elements of both supervised and unsupervised learning
ML algo...
SQL joins are used to combine data from two or more tables based on a related column.
Joins are used to retrieve data from multiple tables in a single query.
Common types of joins are inner join, left join, right join, and full outer join.
Joining tables can be done using the JOIN keyword and specifying the columns to join on.
Example: SELECT * FROM table1 JOIN table2 ON table1.column = table2.column;
Joins can be used to c...
The algorithm used in the project is LSTM.
LSTM stands for Long Short-Term Memory and is a type of recurrent neural network.
It is commonly used for sequential data analysis such as time series forecasting, speech recognition, and natural language processing.
LSTM networks have the ability to remember long-term dependencies and avoid the vanishing gradient problem.
They consist of memory cells, input gates, output gates, a...
LSTM is a type of recurrent neural network that can handle long-term dependencies.
LSTM stands for Long Short-Term Memory.
It uses gates to control the flow of information.
It can remember information for a longer period of time compared to traditional RNNs.
It is commonly used in natural language processing and speech recognition tasks.
LSTM has been shown to be effective in predicting stock prices and weather patterns.
I applied via Naukri.com and was interviewed before Apr 2019. There were 4 interview rounds.
Simple coding in any programming language
I applied via Campus Placement and was interviewed in Jul 2022. There were 4 interview rounds.
It was done on hackerrank the first question was related to array and second was on linked list and last was on sql
posted on 29 Sep 2022
They will give you a leet code test.
API endpoint to update employee salary
Create a PUT request endpoint with employee ID and new salary as parameters
Verify user authentication and authorization before updating the salary
Update the salary in the database and return success message
posted on 15 Jun 2022
I applied via LinkedIn and was interviewed in Apr 2022. There were 4 interview rounds.
based on 12 reviews
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