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Types of API βœ…
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9 Types of API Testing
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DS INTERVIEW.pdf
16.6 MB
800+ Data Science Interview Questions – A Must-Have Resource for Every Aspirant

Breaking into the data science field is challengingβ€”not because of a lack of opportunities, but because of how thoroughly you need to prepare.

This document, curated by Steve Nouri, is a goldmine of 800+ real-world interview questions covering:
-Statistics
-Data Science Fundamentals
-Data Analysis
-Machine Learning
-Deep Learning
-Python & R
-Model Evaluation & Optimization
-Deployment Strategies
…and much more!
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πŸš€ Required Skills for a data scientist

🎯Statistics and Probability
🎯Mathematics
🎯Python, R, SAS and Scala or other.
🎯Data visualisation
🎯Big data
🎯Data inquisitiveness
🎯Business expertise
🎯Critical thinking
🎯Machine learning, deep learning and AI
🎯Communication skills
🎯Teamwork
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πŸ”…SQL Revision Notes for InterviewπŸ’‘
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ML Algorithms πŸ’ͺ
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NLP techniques every Data Science professional should know!

1. Tokenization
2. Stop words removal
3. Stemming and Lemmatization
4. Named Entity Recognition
5. TF-IDF
6. Bag of Words
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Key trends shaping the future of web development πŸ‘‡πŸ‘‡

1. Progressive Web Apps (PWAs): PWAs are becoming more popular as they combine the best of web and mobile apps, offering a seamless experience across platforms without needing app stores.

2. WebAssembly (Wasm): WebAssembly allows developers to run code written in different languages (C++, Rust) on the web with near-native performance, enhancing web application speed and capabilities.

3. AI-Powered Web Development: Artificial Intelligence (AI) and Machine Learning (ML) will become more integrated into web development, enabling features like chatbots, personalized content, predictive search, and automated design processes.

4. Voice Search Optimization: As voice search continues to grow, web developers will focus on optimizing websites for voice-activated queries, leading to changes in search engine optimization (SEO) practices and user experience design.

5. Serverless Architecture: Serverless computing allows developers to build and deploy applications without managing infrastructure. This reduces costs, enhances scalability, and enables faster development cycles.

6. Motion UI: Animation and micro-interactions will play a bigger role in web design. Motion UI helps create engaging, interactive experiences that can improve user engagement and satisfaction.

7. 5G and Enhanced Connectivity: With the rollout of 5G, faster internet speeds and lower latency will enable more complex, real-time applications, especially in areas like augmented reality (AR), virtual reality (VR), and IoT.

8. Blockchain Integration: Web development could integrate blockchain technology for decentralized applications (dApps), offering enhanced security, transparency, and user control over data.

9. Edge Computing: By bringing computing closer to the source of data, edge computing will reduce latency and improve the performance of web applications, especially for IoT and real-time data processing.

10. Cybersecurity Focus: As web applications handle more sensitive data, the importance of robust security practices, such as multi-factor authentication (MFA), encryption, and secure development frameworks, will grow.
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