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Python program to find smallest integer greater than square root of a given number.
Use math module to calculate square root of the given number.
Use math.ceil() function to round up the square root to the nearest integer.
Add 1 to the rounded up square root to get the smallest integer greater than square root.
SQL query to list employees with third highest salary
Use the 'ROW_NUMBER()' function to assign a rank to each employee based on salary
Filter the results to only include employees with a rank of 3
Stemming and lemmatization are techniques used in natural language processing to reduce words to their base or root form.
Stemming is the process of reducing words to their base or root form by removing suffixes.
Example: 'running' becomes 'run' after stemming.
Lemmatization is the process of reducing words to their base or root form while still ensuring that the reduced form belongs to the language.
Example: 'better' beco
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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 Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.
posted on 28 Mar 2022
Need Average coding skill
I applied via Naukri.com and was interviewed in Mar 2022. There were 2 interview rounds.
Questions related to Pandas, List, String
Decision tree is a tree-like model used for classification and regression. OpenCV parameters include image processing and feature detection.
Decision tree is a supervised learning algorithm that recursively splits the data into subsets based on the most significant attribute.
It is used for both classification and regression tasks.
OpenCV parameters include image processing techniques like smoothing, thresholding, and mor...
I applied via Naukri.com and was interviewed in Apr 2023. There were 3 interview rounds.
Finding index of 2 numbers having total equal to target in a list without nested for loop.
Use dictionary to store the difference between target and each element of list.
Iterate through list and check if element is in dictionary.
Return the indices of the two elements that add up to target.
Random forest and KNN are machine learning algorithms used for classification and regression tasks.
Random forest is an ensemble learning method that constructs multiple decision trees and combines their outputs to make a final prediction.
KNN (k-nearest neighbors) is a non-parametric algorithm that classifies new data points based on the majority class of their k-nearest neighbors in the training set.
Random forest is us...
To find unique keys in 2 dictionaries.
Create a set of keys for each dictionary
Use set operations to find the unique keys
Return the unique keys
AWS EC2 model deployment involves creating an instance, installing necessary software, and deploying the model.
Create an EC2 instance with the desired specifications
Install necessary software and dependencies on the instance
Upload the model and any required data to the instance
Deploy the model using a web server or API
Monitor the instance and model performance for optimization
Overloading is the ability to define multiple methods with the same name but different parameters.
Overloading allows for more flexibility in method naming and improves code readability.
Examples include defining multiple constructors for a class with different parameter lists or defining a method that can accept different data types as input.
Overloading is resolved at compile-time based on the number and types of argume...
Expect technical questions as well as moderate level coding questions
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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