Python Data Science Jobs & Interviews
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Your go-to hub for Python and Data Science—featuring questions, answers, quizzes, and interview tips to sharpen your skills and boost your career in the data-driven world.

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Question 2 (Intermediate):
What is a common use case for the PCA (Principal Component Analysis) algorithm in machine learning?

A) Hyperparameter tuning
B) Data visualization and dimensionality reduction
C) Gradient descent optimization
D) Model ensembling

#MachineLearning #PCA #DimensionalityReduction #MLQuiz #DataScience
Question 2 (Advanced):
In machine learning with Python, what does the random_state parameter do in scikit-learn's train_test_split() function?

A) Controls the shuffling applied to the data before splitting
B) Sets the percentage of data to use for testing
C) Determines the number of CPU cores to use
D) Specifies the type of ML algorithm to apply

#Python #MachineLearning #ScikitLearn #DataScience
Question 4 (Intermediate):
In scikit-learn's KMeans implementation, what is the purpose of the n_init parameter?

A) Number of initial centroid configurations to try
B) Number of iterations for each run
C) Number of features to initialize
D) Number of CPU cores to use

#Python #KMeans #Clustering #MachineLearning

By: https://yangx.top/DataScienceQ
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🔥 Master Vision Transformers with 65+ MCQs! 🔥

Are you preparing for AI interviews or want to test your knowledge in Vision Transformers (ViT)?

🧠 Dive into 65+ curated Multiple Choice Questions covering the fundamentals, architecture, training, and applications of ViT — all with answers!

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🔹 Table of Contents
Basic Concepts (Q1–Q15)
Architecture & Components (Q16–Q30)
Attention & Transformers (Q31–Q45)
Training & Optimization (Q46–Q55)
Advanced & Real-World Applications (Q56–Q65)
Answer Key & Explanations

#VisionTransformer #ViT #DeepLearning #ComputerVision #Transformers #AI #MachineLearning #MCQ #InterviewPrep


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🚀 Comprehensive Guide: How to Prepare for a Python Job Interview – 200 Most Common Interview Questions

Are you ready: https://hackmd.io/@husseinsheikho/Python-interviews

#PythonInterview #JobPrep #PythonQuestions #CodingInterview #DataStructures #Algorithms #OOP #WebDevelopment #MachineLearning #DevOps

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🚀 Comprehensive Guide: How to Prepare for a Data Analyst Python Interview – 350 Most Common Interview Questions

Are you ready: https://hackmd.io/@husseinsheikho/pandas-interview

#DataAnalysis #PythonInterview #DataAnalyst #Pandas #NumPy #Matplotlib #Seaborn #SQL #DataCleaning #Visualization #MachineLearning #Statistics #InterviewPrep


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🚀 Comprehensive Guide: How to Prepare for an Image Processing Job Interview – 500 Most Common Interview Questions

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#ImageProcessing #ComputerVision #OpenCV #Python #InterviewPrep #DigitalImageProcessing #MachineLearning #AI #SignalProcessing #ComputerGraphics

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🚀 Comprehensive Guide: How to Prepare for a Graph Neural Networks (GNN) Job Interview – 350 Most Common Interview Questions

Read: https://hackmd.io/@husseinsheikho/GNN-interview

#GNN #GraphNeuralNetworks #MachineLearning #DeepLearning #AI #DataScience #PyTorchGeometric #DGL #NodeClassification #LinkPrediction #GraphML

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