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Structured data is organized and easily searchable, while unstructured data lacks a predefined format. Supervised learning uses labeled data for training, while unsupervised learning finds patterns in unlabeled data.
Structured data is organized in a predefined format, such as databases or spreadsheets.
Unstructured data lacks a specific format and includes text, images, videos, etc.
Supervised learning uses labeled data ...
CNN stands for Convolutional Neural Network. RCNN is Region-based Convolutional Neural Network and RNN is Recurrent Neural Network.
CNN is a type of neural network commonly used for image recognition and classification.
RCNN is an improvement over CNN that focuses on regions of interest within an image.
RNN is a type of neural network designed for sequence data, such as text or speech.
The main difference between RCNN and ...
I am looking for a competitive salary that reflects my skills and experience in the data science field.
Research industry standards for data scientist salaries
Consider my level of experience and expertise in the field
Be prepared to negotiate based on the overall compensation package offered
Yes, predictive analysis involves using statistical algorithms to predict future outcomes based on historical data.
Predictive analysis uses historical data to make predictions about future outcomes.
It involves the use of statistical algorithms and machine learning techniques.
Examples include predicting customer churn, forecasting sales, and detecting fraud.
It helps businesses make informed decisions and optimize proces
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I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.
Developed a predictive model to identify potential customers for a bank
Gathered and cleaned data on customer demographics, financial history, and behavior
Performed exploratory data analysis to identify patterns and correlations
Developed and trained a machine learning model using logistic regression
Evaluated model performance using metrics such as accuracy, precision, and recall
Deployed the model in a web application fo
I am a data scientist with expertise in machine learning and data analysis.
I have a strong background in statistics and mathematics.
I am skilled in programming languages such as Python and R.
I have experience working with large datasets and implementing predictive models.
I have successfully completed projects in various industries, including finance and healthcare.
I am passionate about using data to drive insights and
I applied via Referral and was interviewed in Jan 2024. There was 1 interview round.
Digital Image Processing is the manipulation of digital images using algorithms to enhance, analyze, or extract information.
It involves techniques like image enhancement, restoration, segmentation, and compression.
Common applications include medical imaging, satellite imaging, facial recognition, and object detection.
Algorithms like edge detection, noise reduction, and image stitching are used in digital image processi...
OOP in Python is a programming paradigm where objects are created that contain data and methods to manipulate that data.
Classes are used to create objects in Python
Objects have attributes (data) and methods (functions)
Inheritance allows classes to inherit attributes and methods from other classes
Encapsulation allows data to be hidden and only accessed through methods
Polymorphism allows objects to be treated as instance
I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.
Developed a predictive model to identify potential customers for a bank
Gathered and cleaned data on customer demographics, financial history, and behavior
Performed exploratory data analysis to identify patterns and correlations
Developed and trained a machine learning model using logistic regression
Evaluated model performance using metrics such as accuracy, precision, and recall
Deployed the model in a web application fo
I am a data scientist with expertise in machine learning and data analysis.
I have a strong background in statistics and mathematics.
I am skilled in programming languages such as Python and R.
I have experience working with large datasets and implementing predictive models.
I have successfully completed projects in various industries, including finance and healthcare.
I am passionate about using data to drive insights and
I applied via Recruitment Consulltant and was interviewed in May 2023. There were 3 interview rounds.
Machine Learning algorithms are used to train models on data to make predictions or decisions without being explicitly programmed.
Machine Learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.
Examples of supervised learning algorithms include linear regression, decision trees, and support vector machines.
Examples of unsupervised learning algorithms include k-means clustering, ...
I applied via Company Website and was interviewed in Oct 2024. There were 3 interview rounds.
30 minutes. 3 aptitude questions . Very easy .
DSA Questions. Palindrome , Arrays and Strings were the most asked questions in my batch.
Directors are individuals responsible for overseeing the activities and operations of a company or organization.
Directors are typically appointed by shareholders or members of the organization.
They are responsible for making strategic decisions and setting goals for the organization.
Directors have a fiduciary duty to act in the best interests of the company and its stakeholders.
Examples of directors include the CEO, CF
I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
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