Technocolabs Interview Questions and Answers

Q1. Can you describe the projects you have worked on?
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Q2. How do you manage your project deadlines?
Ans. 
I prioritize tasks, set clear milestones, and use tools to track progress, ensuring timely project completion.
• Prioritize tasks based on urgency and importance, e.g., using the Eisenhower Matrix.

• Set clear milestones and deadlines for each phase of the project, e.g., completing data cleaning by a specific date.

• Utilize project management tools like Trello or Asana to track progress and collaborate with team members.

• Regula...read more
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Question related to ML

Q1. Feature Engieering
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Q2. Data Preprocessing
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Q3. Explain how to define an outlier using a boxplot analysis
Ans. 
Outliers in a boxplot are defined as data points that fall below Q1 - 1.5*IQR or above Q3 + 1.5*IQR.
• Calculate the interquartile range (IQR) by subtracting Q1 from Q3.

• Identify the lower bound as Q1 - 1.5*IQR and the upper bound as Q3 + 1.5*IQR.

• Any data points below the lower bound or above the upper bound are considered outliers.

• For example, if Q1 = 10, Q3 = 20, and IQR = 5, then the lower bound = 10 - 1.5*5 = 2.5 and t...read more
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Q1. Tell me about your self
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Q1. Roles and responsibilities of data analyst
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Q2. Basic python questions
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Q1. What is mean by IQR?
Ans. 
IQR stands for Interquartile Range, a measure of statistical dispersion.
• IQR is calculated as the difference between the 75th percentile (Q3) and the 25th percentile (Q1) of a dataset.

• It is used to identify the spread of the middle 50% of the data points in a dataset.

• IQR is less sensitive to outliers compared to the range.

• Formula: IQR = Q3 - Q1
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Q2. How to fill missing values?
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Missing values can be filled using techniques like mean, median, mode imputation, or advanced methods like regression or machine learning algorithms.
• Use mean, median, or mode imputation for numerical data

• Use mode imputation for categorical data

• Use regression or machine learning algorithms for more complex datasets
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