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๐Ÿฏ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ฒ๐˜€ ๐—•๐—ผ๐—ผ๐˜€๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜

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๐Ÿš€ Required Skills for a data scientist

๐ŸŽฏStatistics and Probability
๐ŸŽฏMathematics
๐ŸŽฏPython, R, SAS and Scala or other.
๐ŸŽฏData visualisation
๐ŸŽฏBig data
๐ŸŽฏData inquisitiveness
๐ŸŽฏBusiness expertise
๐ŸŽฏCritical thinking
๐ŸŽฏMachine learning, deep learning and AI
๐ŸŽฏCommunication skills
๐ŸŽฏTeamwork
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๐—ง๐—ผ๐—ฝ ๐Ÿฑ ๐—ฌ๐—ผ๐˜‚๐—ง๐˜‚๐—ฏ๐—ฒ ๐—–๐—ต๐—ฎ๐—ป๐—ป๐—ฒ๐—น๐˜€ ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ๐˜†๐Ÿ˜

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๐Ÿ”…SQL Revision Notes for Interview๐Ÿ’ก
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๐Ÿฑ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—ž๐—ถ๐—ฐ๐—ธ๐˜€๐˜๐—ฎ๐—ฟ๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ (๐—ก๐—ผ ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ก๐—ฒ๐—ฒ๐—ฑ๐—ฒ๐—ฑ!)๐Ÿ˜

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ML Algorithms ๐Ÿ’ช
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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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๐Ÿฏ ๐—ข๐—ฝ๐—ฒ๐—ป-๐—ฆ๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ ๐—”๐—œ ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜๐˜€ ๐˜๐—ผ ๐—•๐˜‚๐—ถ๐—น๐—ฑ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ๐Ÿ˜

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Forwarded from Artificial Intelligence
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ ๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿฏ ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐— ๐—ผ๐—ฑ๐˜‚๐—น๐—ฒ๐˜€!๐Ÿ˜

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Key trends shaping the future of web development ๐Ÿ‘‡๐Ÿ‘‡

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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