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LLms stands for Locally Linear Mapping System, a method for dimensionality reduction.
LLms is a technique used for reducing the dimensionality of data while preserving the local structure.
It works by finding a low-dimensional representation of the data that maintains the local linear relationships between data points.
LLms is commonly used in machine learning and data visualization tasks.
An example of LLms is the Locally...
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LLM stands for Language Model. Fine tuning involves adjusting hyperparameters and training on specific data.
LLM stands for Language Model, which is a type of AI model that predicts the next word in a sentence.
Fine tuning LLM involves adjusting hyperparameters such as learning rate, batch size, and number of training epochs.
Fine tuning also involves training the LLM on specific data related to the task at hand, such as ...
RAG stands for Red, Amber, Green and is a project management tool used to visually indicate the status of tasks or projects.
RAG is commonly used in project management to quickly communicate the status of tasks or projects.
Red typically indicates tasks or projects that are behind schedule or at risk, Amber indicates tasks that are on track but may need attention, and Green indicates tasks that are on schedule or complet...
I appeared for an interview in Apr 2025, where I was asked the following questions.
I applied via Campus Placement and was interviewed in Apr 2024. There was 1 interview round.
Logistic regression is a linear model used for binary classification, while SVM is a non-linear model that can handle complex decision boundaries.
Logistic regression is a probabilistic model that predicts the probability of a binary outcome based on input features.
SVM aims to find the hyperplane that best separates the classes in a high-dimensional space.
Logistic regression is more interpretable and easier to implement...
I am a dedicated and experienced professional with a background in marketing and a passion for driving results.
Experienced in marketing strategies and campaigns
Strong track record of achieving goals and targets
Passionate about driving results and exceeding expectations
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL, excel, tableau , looker studio
I applied via Recruitment Consulltant and was interviewed before Aug 2021. There was 1 interview round.
CNN is used for image recognition while MLP is used for general classification tasks.
CNN uses convolutional layers to extract features from images while MLP uses fully connected layers.
CNN is better suited for tasks that require spatial understanding like object detection while MLP is better for tabular data.
CNN has fewer parameters than MLP due to weight sharing in convolutional layers.
CNN can handle input of varying ...
I applied via Company Website and was interviewed before May 2021. There was 1 interview round.
I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.
Data Scientist interview questions on model building, random forest, ROC curve, gradient boosting, and real estate valuation
For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forest
Random forest hyperparameters include number of trees, maximum depth, minimum samples split, and minimum samples leaf
ROC curve is a graphical representation of...
Data Scientist interview questions on model building, hyperparameters, ROC curve, gradient boosting, and real estate valuation
For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forests
Random forest hyperparameters include number of trees, maximum depth, and minimum samples for a leaf node
ROC curve is a graphical representation of the trad...
I applied via Job Portal and was interviewed before Jul 2021. There were 2 interview rounds.
Complex SQL Queries, Analytics, Case Studies - Predictive modeling
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