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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.
Top trending discussions
Code for parsing a triangle
Use a loop to iterate through each line of the triangle
Split each line into an array of numbers
Store the parsed numbers in a 2D array or a list of lists
The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.
ASCII values range from 65 to 90 for capital letters A to Z.
ASCII values range from 97 to 122 for small letters a to z.
For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.
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 Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.
I applied via Naukri.com and was interviewed in Nov 2023. There were 2 interview rounds.
SQL, select statment and DDL commands
posted on 19 Oct 2023
I applied via Recruitment Consulltant and was interviewed before Oct 2022. There were 3 interview rounds.
I have worked on projects involving predictive modeling, natural language processing, and computer vision.
Predictive modeling: Developed machine learning models to predict customer churn for a telecom company.
Natural language processing: Built a sentiment analysis tool to analyze customer reviews for a retail company.
Computer vision: Implemented a facial recognition system for access control in a secure facility.
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