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KDnuggets News, October 11: 3 Data Science Projects to Land That Job • 7 Steps to Mastering NLP

KDnuggets

This week: What three data science projects should you choose to guarantee you get the job? • A 7 step guide to help you go from the fundamentals of machine learning and Python to Transformers, recent advances in NLP, and beyond.

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How to get datasets for Machine Learning?

Knowledge Hut

Also called data storage areas , they help users to understand the essential insights about the information they represent. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. In the real world, data sets are huge.

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10 ChatGPT Projects Cheat Sheet

KDnuggets

KDnuggets' latest cheat sheet covers 10 curated hands-on projects to boost data science workflows with ChatGPT across ML, NLP, and full stack dev, including links to full project details.

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Top 12 NLP Project Ideas in 2023 [with Source Code]

Knowledge Hut

Natural Language Processing or NLP is a part of Machine Learning focusing on spoken language with loads of data. Interactions between people and machines using natural language are the subject of the interdisciplinary field of natural language processing (NLP). What are Natural Language Processing Projects?

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10 Awesome & High-Paying AI Careers to Pursue in 2024

Knowledge Hut

AI Engineer AI Engineers play a crucial role in bringing artificial intelligence projects to life. AI Data Analyst AI Data Analysts leverage artificial intelligence tools and techniques to analyze large volumes of data. Salary Range: $120,000 - $200,000, depending on experience and location.

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Top Stories, Nov 15-21: 19 Data Science Project Ideas for Beginners

KDnuggets

Also: How I Redesigned over 100 ETL into ELT Data Pipelines; Where NLP is heading; Don’t Waste Time Building Your Data Science Network; Data Scientists: How to Sell Your Project and Yourself.

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30+ Free Datasets for Your Data Science Projects in 2023

Knowledge Hut

As Data scientists, our focus is on both the quality and quantity of data which can improve the model results. With different sources of data, we can leverage the information to drive good business understanding. Your data should possess the maximum available information to perform meaningful analysis.