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Python Interview Questions with Answers
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Being a Generalist Data Scientist won't get you hired.
Here is how you can specialize ๐Ÿ‘‡

Companies have specific problems that require certain skills to solve. If you do not know which path you want to follow. Start broad first, explore your options, then specialize.

To discover what you enjoy the most, try answering different questions for each DS role:


- ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ
Qs:
โ€œHow should we monitor model performance in production?โ€

- ๐ƒ๐š๐ญ๐š ๐€๐ง๐š๐ฅ๐ฒ๐ฌ๐ญ / ๐๐ซ๐จ๐๐ฎ๐œ๐ญ ๐ƒ๐š๐ญ๐š ๐’๐œ๐ข๐ž๐ง๐ญ๐ข๐ฌ๐ญ
Qs:
โ€œHow can we visualize customer segmentation to highlight key demographics?โ€

- ๐ƒ๐š๐ญ๐š ๐’๐œ๐ข๐ž๐ง๐ญ๐ข๐ฌ๐ญ
Qs:
โ€œHow can we use clustering to identify new customer segments for targeted marketing?โ€

- ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก๐ž๐ซ
Qs:
โ€œWhat novel architectures can we explore to improve model robustness?โ€

- ๐Œ๐‹๐Ž๐ฉ๐ฌ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ
Qs:
โ€œHow can we automate the deployment of machine learning models to ensure continuous integration and delivery?โ€

Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
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Forwarded from Artificial Intelligence
๐Ÿฐ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—”๐—œ ๐—ง๐—ฟ๐—ฎ๐—ถ๐—ป๐—ถ๐—ป๐—ด ๐— ๐—ผ๐—ฑ๐˜‚๐—น๐—ฒ๐˜€ ๐˜๐—ผ ๐—•๐—ผ๐—ผ๐˜€๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€๐Ÿ˜

Generative AI is no longer just a buzzwordโ€”itโ€™s a career-maker๐Ÿง‘โ€๐Ÿ’ป๐Ÿ“Œ

Recruiters are actively looking for candidates with prompt engineering skills, hands-on AI experience, and the ability to use tools like GitHub Copilot and Azure OpenAI effectively.๐Ÿ–ฅ

๐‹๐ข๐ง๐ค๐Ÿ‘‡:-

http://pdlink.in/4fKT5pL

If youโ€™re looking to stand out in interviews, land AI-powered roles, or future-proof your career, this is your chance
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๐Ÿ‘ฉโ€๐Ÿซ๐Ÿง‘โ€๐Ÿซ PROGRAMMING LANGUAGES YOU SHOULD LEARN TO BECOME.

โš”๏ธ[ Web Developer]
PHP, C#, JS, JAVA, Python, Ruby

โš”๏ธ[ Game Developer]
Java, C++, Python, JS, Ruby, C, C#

โš”๏ธ[ Data Analysis]
R, Matlab, Java, Python

โš”๏ธ[ Desktop Developer]
Java, C#, C++, Python

โš”๏ธ[ Embedded System Program]
C, Python, C++

โš”๏ธ[Mobile Apps Development]
Kotlin, Dart, Objective-C, Java, Python, JS, Swift, C#
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๐Ÿš€๐Ÿ”ฅ ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฎ๐—ป ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—”๐—œ ๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ฒ๐—ฟ โ€” ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ
Master the most in-demand AI skill in todayโ€™s job market: building autonomous AI systems.

In Ready Tensorโ€™s free, project-first program, youโ€™ll create three portfolio-ready projects using ๐—Ÿ๐—ฎ๐—ป๐—ด๐—–๐—ต๐—ฎ๐—ถ๐—ป, ๐—Ÿ๐—ฎ๐—ป๐—ด๐—š๐—ฟ๐—ฎ๐—ฝ๐—ต, and vector databases โ€” and deploy production-ready agents that employers will notice.

Includes guided lectures, videos, and code.
๐—™๐—ฟ๐—ฒ๐—ฒ. ๐—ฆ๐—ฒ๐—น๐—ณ-๐—ฝ๐—ฎ๐—ฐ๐—ฒ๐—ฑ. ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ-๐—ฐ๐—ต๐—ฎ๐—ป๐—ด๐—ถ๐—ป๐—ด.

๐Ÿ‘‰ Apply now: https://go.readytensor.ai/cert-514-agentic-ai-certification
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Important Pandas & Spark Commands for Data Science
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The Data Science Sandwich
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Data science is a multidisciplinary field that combines techniques from statistics, computer science, and domain-specific knowledge to extract insights and knowledge from data. Here are some essential concepts in data science:

1. Data Collection: The process of gathering data from various sources, such as databases, files, sensors, and APIs.

2. Data Cleaning: The process of identifying and correcting errors, missing values, and inconsistencies in the data.

3. Data Exploration: The process of summarizing and visualizing the data to understand its characteristics and relationships.

4. Data Preprocessing: The process of transforming and preparing the data for analysis, including feature selection, normalization, and encoding.

5. Machine Learning: A subset of artificial intelligence that uses algorithms to learn patterns and make predictions from data.

6. Statistical Analysis: The use of statistical methods to analyze and interpret data, including hypothesis testing, regression analysis, and clustering.

7. Data Visualization: The graphical representation of data to communicate insights and findings effectively.

8. Model Evaluation: The process of assessing the performance of a predictive model using metrics such as accuracy, precision, recall, and F1 score.

9. Feature Engineering: The process of creating new features or transforming existing features to improve the performance of machine learning models.

10. Big Data: The term used to describe large and complex datasets that require specialized tools and techniques for analysis.

These concepts are foundational to the practice of data science and are essential for extracting valuable insights from data.

Join for more: https://t.me/datasciencefun

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
โค3
20 coding patterns.pdf
24.5 MB
20 Coding Pattern ๐Ÿš€

React "โค๏ธ" For More
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๐Ÿš€๐Ÿ”ฅ ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฎ๐—ป ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—”๐—œ ๐—•๐˜‚๐—ถ๐—น๐—ฑ๐—ฒ๐—ฟ โ€” ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ
Master the most in-demand AI skill in todayโ€™s job market: building autonomous AI systems.

In Ready Tensorโ€™s free, project-first program, youโ€™ll create three portfolio-ready projects using ๐—Ÿ๐—ฎ๐—ป๐—ด๐—–๐—ต๐—ฎ๐—ถ๐—ป, ๐—Ÿ๐—ฎ๐—ป๐—ด๐—š๐—ฟ๐—ฎ๐—ฝ๐—ต, and vector databases โ€” and deploy production-ready agents that employers will notice.

Includes guided lectures, videos, and code.
๐—™๐—ฟ๐—ฒ๐—ฒ. ๐—ฆ๐—ฒ๐—น๐—ณ-๐—ฝ๐—ฎ๐—ฐ๐—ฒ๐—ฑ. ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ-๐—ฐ๐—ต๐—ฎ๐—ป๐—ด๐—ถ๐—ป๐—ด.

๐Ÿ‘‰ Apply now: https://go.readytensor.ai/cert-514-agentic-ai-certification
โค3
โŒจ๏ธ An Amazing Cheatsheet for Tailwind CSS to master Tailwind in Minutes
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