Technocolabs Interview Questions, Process, and Tips

Question related to ML

Q1. Feature Engieering
Add your answer
Q2. Data Preprocessing
Add your answer
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
Answered by AI
Add your answer

Q1. Tell me about your self
Add your answer

Q1. Roles and responsibilities of data analyst
Add your answer
Q2. Basic python questions
Add your answer

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
Answered by AI
Add your answer
Q2. How to fill missing values?
Ans. 
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
Answered by AI
Add your answer

Q1. Basic knowledge on python.
Add your answer