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

Admin: @Hussein_Sheikho
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Python Question / Quiz;

What is the output of the following Python code, and why? πŸ€”πŸš€ Comment your answers below! πŸ‘‡

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience

https://t.me/DataScienceQ
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Python Question / Quiz;

What is the output of the following Python code, and why? πŸ€”πŸš€ Comment your answers below! πŸ‘‡

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience

https://t.me/DataScienceQ
πŸ‘2
Python Question / Quiz;

What is the output of the following Python code, and why? πŸ€”πŸš€ Comment your answers below! πŸ‘‡

#python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience

https://t.me/DataScienceQ
πŸ‘3
πŸ˜‰ A list of the best YouTube videos
βœ… To learn data science


1️⃣ SQL language


⬅️ Learning

πŸ’° 4-hour SQL course from zero to one hundred

πŸ’° Window functions tutorial

⬅️ Projects

πŸ“Ž Starting your first SQL project

πŸ’° Data cleansing project

πŸ’° Restaurant order analysis

⬅️ Interview

πŸ’° How to crack the SQL interview?

βž–βž–βž–

2️⃣ Python


⬅️ Learning

πŸ’° 12-hour Python for Data Science course

⬅️ Projects

πŸ’° Python project for beginners

πŸ’° Analyzing Corona Data with Python

⬅️ Interview

πŸ’° Python interview golden tricks

πŸ’° Python Interview Questions

βž–βž–βž–

3️⃣ Statistics and machine learning


⬅️ Learning

πŸ’° 7-hour course in applied statistics

πŸ’° Machine Learning Training Playlist

⬅️ Projects

πŸ’° Practical ML Project

⬅️ Interview

πŸ’° ML Interview Questions and Answers

πŸ’° How to pass a statistics interview?

βž–βž–βž–

4️⃣ Product and business case studies


⬅️ Learning

πŸ’° Building strong product understanding

πŸ’° Product Metric Definition

⬅️ Interview

πŸ’° Case Study Analysis Framework

πŸ’° How to shine in a business interview?

#DataScience #SQL #Python #MachineLearning #Statistics #BusinessAnalytics #ProductCaseStudies #DataScienceProjects #InterviewPrep #LearnDataScience #YouTubeLearning #CodingInterview #MLInterview #SQLProjects #PythonForDataScience



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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

βœ… By: https://t.me/DataScienceQ
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πŸ”₯ Master Vision Transformers with 65+ MCQs! πŸ”₯

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 β€” all with answers!

🌐 Explore Now: https://hackmd.io/@husseinsheikho/vit-mcq

πŸ”Ή 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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πŸš€ 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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πŸš€ 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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πŸš€ Comprehensive Guide: How to Prepare for an Image Processing Job Interview – 500 Most Common Interview Questions

Let's start: https://hackmd.io/@husseinsheikho/IP

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

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πŸš€ 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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