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Data Structure medium level questions. Approach important rather final results. Basic understanding of coding.
I applied via Referral and was interviewed before Feb 2022. There were 4 interview rounds.
Python Coding Questions Revolve around 1 basic and 1 medium level of python and 1-2 Sql Question and MCQ based On Stats, Data Science related topics
Evaluation metrics for classification and regression models are different. Bias and variance are important factors to consider.
Classification metrics include accuracy, precision, recall, F1 score, ROC curve, and AUC.
Regression metrics include mean squared error, mean absolute error, R-squared, and adjusted R-squared.
Bias refers to the difference between the predicted values and the actual values, while variance refers ...
Decision Trees are a type of supervised learning algorithm used for classification and regression tasks.
Decision Trees are used to create a model that predicts the value of a target variable based on several input variables.
The algorithm splits the data into subsets based on the most significant attribute and continues recursively until a leaf node is reached.
Some of the algorithms used in my project include Random For...
I was interviewed in Oct 2021.
Mcq questions of machine learning and Two python programming questilns
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Basic coding knowledge check and problem solving skills.
About your work and projects
posted on 22 Feb 2022
I applied via Campus Placement and was interviewed in Aug 2021. There were 6 interview rounds.
In both aptitude and coding in the second round, aptitude mostly consists of basic problems and there are some data science problems like bias, stats and probability.
2 coding problems the ones I got are easier didn't take more than 15 minutes to solve both of them.
Gradient descent is an optimization algorithm used to minimize the cost function of a machine learning model.
Gradient descent is used to update the parameters of a model to minimize the cost function.
It follows the direction of steepest descent, which is the negative gradient of the cost function.
The learning rate determines the step size of the algorithm.
The formula for gradient descent is: theta = theta - alpha * (1/...
A dictionary sorted in ascending order based on keys.
Create a dictionary with key-value pairs
Use the sorted() function to sort the dictionary based on keys
Convert the sorted dictionary into a list of tuples
Use the dict() constructor to create a new dictionary from the sorted list of tuples
Some of the top questions asked at the Tiger Analytics Data Science Analyst interview -
based on 2 interviews
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