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I applied via Approached by Company and was interviewed before Aug 2023. There was 1 interview round.
Deep learning is a subset of machine learning that uses neural networks to learn from large amounts of data.
Deep learning involves training neural networks with multiple layers to learn complex patterns in data
It is used in various applications such as image and speech recognition, natural language processing, and autonomous vehicles
Popular deep learning frameworks include TensorFlow, PyTorch, and Keras
Deep learning (DL) can be used instead of machine learning (ML) for more complex tasks and larger datasets.
DL is suitable for tasks requiring high levels of abstraction and complex patterns.
DL can handle unstructured data like images, audio, and text more effectively than ML.
DL requires more data and computational power compared to ML.
DL models often have more layers and parameters than ML models.
Example: Using DL for ...
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posted on 29 Feb 2024
I applied via Approached by Company and was interviewed before Feb 2023. There were 3 interview rounds.
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor performance on unseen data as the model fails to generalize well.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
...
Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization and high accuracy on training data but low accuracy on new data.
Techniques to prevent overfitting include cross-validation, regularization, and...
I appeared for an interview before Mar 2024.
I am proficient in various data analysis tools, including Excel, SQL, Python, and visualization software like Tableau.
Excel: Advanced functions, pivot tables, and data visualization.
SQL: Writing complex queries for data extraction and manipulation.
Python: Utilizing libraries like Pandas and NumPy for data analysis.
Tableau: Creating interactive dashboards for data visualization.
R: Statistical analysis and data visualiza
A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.
Allows users to summarize and analyze large datasets
Can easily reorganize data by dragging and dropping fields
Provides options to calculate sums, averages, counts, etc. for data
Helps in creating interactive reports and charts
Useful for identifying trends and patterns in data
I applied via LinkedIn and was interviewed in Dec 2024. There were 2 interview rounds.
Based on my CV, they assigned me a task related to data migration.
I applied via LinkedIn and was interviewed in Jul 2024. There was 1 interview round.
I have a strong background in data analysis, machine learning, and problem-solving skills that make me a valuable asset to your team.
Extensive experience in data analysis and machine learning techniques
Proven track record of solving complex problems using data-driven approaches
Strong communication and collaboration skills demonstrated through team projects and internships
As a Data Science Intern, I should contribute by analyzing data, developing models, and providing insights to drive decision-making.
Analyze data to identify trends and patterns
Develop predictive models to forecast outcomes
Provide actionable insights to stakeholders
Contribute to data-driven decision-making processes
ETL stands for Extract, Transform, Load. It is a process used in data warehousing to extract data from various sources, transform it into a consistent format, and load it into a target database.
ETL stands for Extract, Transform, Load
Extract: Involves extracting data from various sources such as databases, applications, and files
Transform: Involves cleaning, filtering, and transforming the extracted data into a consiste...
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