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As a Data Scientist, I analyze complex data sets to extract valuable insights and make data-driven decisions.
I have expertise in statistical analysis and machine learning algorithms.
I use programming languages like Python and R to manipulate and analyze data.
I have experience in data visualization techniques to communicate findings effectively.
I collaborate with cross-functional teams to identify business problems and ...
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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 Company Website and was interviewed before Jan 2020. There was 1 interview round.
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.
PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.
PCA is used to reduce the number of variables in a dataset while retaining the most important information.
Decision trees are used to classify data based on a set of rules and conditions.
Computer vision involves usin...
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 Approached by Company and was interviewed in Jan 2024. There was 1 interview round.
Model evaluation is crucial in ML pipeline to assess the performance and generalization of the model.
Helps in selecting the best model for the given problem by comparing different models based on metrics like accuracy, precision, recall, etc.
Prevents overfitting by checking if the model is performing well on unseen data.
Guides in fine-tuning hyperparameters to improve model performance.
Enables understanding of model li...
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