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Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
Logistic regression is used when the dependent variable is binary (0/1, True/False, Yes/No, etc.)
It estimates the probability that a given input belongs to a particular category.
The model calculates the odds of the event happening.
It uses a logistic function to map the input values to ...
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
Random forest is a type of ensemble learning method.
It builds multiple decision trees during training.
Each tree is built using a subset of the training data and a random subset of features.
The final prediction is made by averaging the predictions of all the individual trees.
Random...
Decision trees are a popular machine learning algorithm used for classification and regression tasks.
Decision trees are a flowchart-like structure where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome.
They are easy to interpret and visualize, making them popular for exploratory data analysis.
Decision trees can handle both numerical ...
In the next 5 years, I see myself growing into a senior data scientist role, leading projects and mentoring junior team members.
Continuing to enhance my skills in data analysis, machine learning, and programming languages such as Python and R
Taking on more responsibilities in project management and client interactions
Working towards becoming a subject matter expert in a specific industry or domain
Mentoring and guiding ...
I was a student pursuing my undergraduate degree in Computer Science.
5 years back, I was studying Computer Science in college.
Now, I have completed my degree and gained experience in data science through internships and projects.
I have developed strong analytical and programming skills over the past 5 years.
I have also learned new technologies and tools in the field of data science.
I have a better understanding of real
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I applied via Walk-in and was interviewed before Jun 2021. There were 2 interview rounds.
Public vs Govt sector
I applied via Referral and was interviewed in May 2021. There were 2 interview rounds.
I applied via Company Website and was interviewed before Oct 2020. There was 1 interview round.
I applied via Naukri.com and was interviewed in Dec 2020. There was 1 interview round.
I applied via AmbitionBox and was interviewed in Oct 2021. There were 3 interview rounds.
posted on 16 Jun 2023
I applied via Company Website and was interviewed in May 2023. There were 7 interview rounds.
This is first round for the female associate interview.this round conduct by a person mental ability and creative thinking level check.
yes thi round select the candidae for easyway
Filtering candidates can be done by assessing their qualifications, experience, and skills.
Review the candidate's resume for relevant qualifications and experience
Conduct interviews to assess the candidate's skills and fit for the role
Use pre-employment assessments or tests to evaluate the candidate's abilities
Check references to verify the candidate's past performance
Consider cultural fit and attitude towards work
Selecting a hard worker candidate involves assessing their work ethic, dedication, and consistency.
Look for candidates who have a track record of completing tasks on time and going above and beyond expectations.
Ask about their previous work experiences and how they handled challenging situations.
Consider candidates who show initiative, take on additional responsibilities, and are willing to put in extra effort to achie...
This round conduct any work start become a before hard work in assignment
This round conduct by every problem giving a new suggestion.
This round every person new ideas and problems respect the friends
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