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

Knowledge Hut

Roles & Responsibilities: Develop algorithms and machine learning models Implement AI frameworks and programming languages Design, test, and deploy AI models Collaborate with data scientists and other AI professionals Top Hiring Companies: Google, IBM, Microsoft, Amazon, Facebook, NVIDIA, Apple, Intel, Baidu, and Oracle.

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8 Best Python Data Science Books [Beginners and Professionals]

Knowledge Hut

Python Data Science Handbook: Tools and Techniques for Developers The "Python Data Science Handbook Essential Tools for Working With Data" is the best book to learn python for data science, written by Jake Vander Plas and released by O'Reilly Media, Inc. Downey and was published by O'Reilly Media, Inc.

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Data Analytics Projects: 9 Project Ideas for Your Portfolio

Edureka

As a data analytics professional, building a strong portfolio of projects is essential to showcase your skills and expertise to potential employers. This article will discuss nine data analytics project ideas for your portfolio. What is the Role of Data Analytics? Lest discuss about data analytics projects ideas in next section.

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50 ML Projects To Strengthen Your Portfolio and Get You Hired

ProjectPro

Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems. In this ML project, you will learn to implement the random forest regressor and Xgboost algorithms to train the model.

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Data Science Learning Path [Beginners Roadmap]

Knowledge Hut

Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. Understand Machine Learning Even More It is one thing to know about Machine Learning algorithms and how to call their functions. How would one know what to sell and to which customers, based on data?

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Finally, make data visualizations to display your project's results and construct a website to showcase your work, whether it's a portfolio or a personal site.

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Top 15 Software Engineer Projects 2023 [Source Code]

Knowledge Hut

Engaging in software engineering projects not only helps sharpen your programming abilities but also enhances your professional portfolio. Furthermore, project-based learning contributes to building a compelling portfolio that demonstrates your expertise and captivates potential employers.