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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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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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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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10 Practical Generative AI Examples to be More Productive

Edureka

Recognising Patterns: The algorithm then recognises patterns and relationships between various data sets based on all the retrieved training data. Content Generation AI can write different formats of content, from social media posts and marketing copy to news articles and even scripts.

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Real-World Use Cases of Big Data That Drive Business Success

Knowledge Hut

Risk Management: By using big data to analyze a variety of datasets, risks associated with credit scoring, investment portfolios, and market volatility may be assessed and managed, assisting in the development of efficient risk reduction techniques. Without this understanding, it’s improbable to be successful.

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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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How To Become a Software Developer in 2023?

Knowledge Hut

For example, the developers who constructed your favorite social media platform accomplish this goal through code that allows you to post, share, and comment in seconds. Data Structures and Algorithms Most tech companies look for software developers who are proficient in data structures and algorithms.