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I applied via Naukri.com and was interviewed in Sep 2021. There were 4 interview rounds.
Loss function measures the error for a single training example, while cost function measures the average error for the entire training set.
Loss function is used to optimize the model parameters during training.
Cost function is used to evaluate the performance of the model after training.
Loss function is typically defined for a single training example.
Cost function is typically defined for the entire training set.
Exampl...
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before Jun 2023. There were 3 interview rounds.
Marketing case study
Ops case study for plant set up
I applied via Approached by Company and was interviewed before Sep 2023. There were 3 interview rounds.
Simple Data Science Case Study
Data Science Case Study
Machine Learning, Metrics
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.
It assumes a linear relationship between the independent and dependent variables.
The goal of linear regression is to find the best-fitting line that minimi...
List and tuple are both data structures in Python, but list is mutable while tuple is immutable.
List is denoted by square brackets [] while tuple is denoted by parentheses ().
Elements in a list can be changed, added, or removed, while elements in a tuple cannot be changed once defined.
Lists are used when you need a collection of items that may change, while tuples are used for fixed collections of items.
Example: list =
Developed a predictive analytics model to forecast customer churn for a telecom company.
Utilized machine learning algorithms such as logistic regression and random forests
Cleaned and preprocessed large datasets to improve model accuracy
Collaborated with cross-functional teams to gather domain knowledge and insights
I applied via Approached by Company and was interviewed in Oct 2024. There were 2 interview rounds.
Combination logic on python
Classification is a machine learning technique used to categorize data into different classes or categories based on past observations.
Classification involves training a model on labeled data to predict the class of new, unseen data points.
Common algorithms for classification include logistic regression, decision trees, support vector machines, and k-nearest neighbors.
Examples of classification tasks include spam email...
Stemming and lemmatization are techniques used in natural language processing to reduce words to their base or root form.
Stemming is a process of reducing words to their base form by removing suffixes.
Lemmatization is a process of reducing words to their base form by considering the context and part of speech.
Stemming is faster but may not always produce a valid word, while lemmatization is slower but produces valid wo...
Multicollinearity can be measured using correlation matrix, variance inflation factor (VIF), or eigenvalues.
Calculate the correlation matrix to identify highly correlated variables.
Use the variance inflation factor (VIF) to quantify the extent of multicollinearity.
Check for high eigenvalues in the correlation matrix, indicating multicollinearity.
Consider using dimensionality reduction techniques like principal componen
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