interview questions on classifiers

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  20 XGBoost Interview Questions and Answers - CLIMB

  2022812 · 20 XGBoost Interview Questions and Answers Prepare for the types of questions you are likely to be asked when interviewing for a position where XGBoost will be used.

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  Evaluation Metrics For Classification Model in Python

  2024527 · Classification is a supervised machine-learning technique that predicts the class label based on the input data. There are different classification algorithms to build a classification model, such as Stochastic Gradient Classifier, Support Vector Machine Classifier, Random Forest Classifier, etc. To choose the right model, it is important to …

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  Support Vector Machine (SVM) Interview Questions

  2021115 · Support Vector Machine (SVM) Interview Questions. Support Vector Machine (SVM) is a machine learning algorithm that can be used to classify data. SVM does this by maximizing the margin between two classes, where “margin” refers to the distance from both support vectors. SVM has been applied in many areas of computer science and …

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  Naive Bayes Algorithms: A Complete Guide for Beginners

  2024321 · In this article, we wi ll d iscuss the naive Bayes algorithms with their core intuition, working mechanism, mathematical formulas, PROs, CONs, and other important aspects related to the same. Also, the key takeaways discussed in the end will help one answer the interview questions related to the Naive Bayes Classifier algorithms ef ficiently.

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  Frequent Interview Questions on k-NN Algorithm - Medium

  2023215 · Frequent Interview Questions on k-NN Algorithm Kriti Yadav · Follow 10 min read · Feb 15, 2023 1 Image-Pexels

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  Naive Bayes Algorithm: A Complete guide for …

  Top 20 Naïve Bayes Interview Questions, Answers & Jobs To Kill Your Next Machine Learning & Data Science Interview

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  65 Machine Learning Interview Questions 2024 - GitHub

  65 Machine Learning Interview Questions 2024 A collection of technical interview questions for machine learning and computer vision engineering positions.

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  Top 25 Bayesian Inference Interview Questions and Answers

  2023830 · Prepare for your next interview with our comprehensive guide on Bayesian Inference. The article includes commonly asked interview questions and detailed answers to help you understand and articulate this statistical concept effectively.

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  Naive Bayes algorithm: Interview questions and answers

  Naive Bayes Algorithm Questions and Answers. What is the Naive Bayes algorithm? Answer: Naive Bayes is a probabilistic machine learning algorithm based on applying Bayes’ theorem with the assumption of independence between every pair of features. It’s widely used in classification tasks.

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