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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. This type of analysis is particularly relevant in industries such as manufacturing and logistics.

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10 Practical Generative AI Examples to be More Productive

Edureka

Getting Trained on Data: To perform any task, first, the generative AI models need to be trained on massive datasets of existing content. Recognising Patterns: The algorithm then recognises patterns and relationships between various data sets based on all the retrieved training data.

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Top 22 Data Science Applications That You Should Know

Knowledge Hut

Data processing can be done using statistical techniques, algorithms, scientific approaches, various technologies, etc. Manufacturing Process Optimization The distinction between the physical and digital worlds has become more ambiguous due to data science applications in industrial industries. Analyzing medical images is one of them.

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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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How to Become a Machine Learning Engineer in 2024?

Knowledge Hut

A machine learning engineer is a professional who develops and refines the algorithms which are further used by machine learning tools. They have to choose the most appropriate datasets for analysis before proceeding with the modeling. space and time complexity , and algorithms like sorting, searching, etc. Read on to find out.

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A Collection of Take-Home Data Science Challenges for 2023

ProjectPro

Furthermore, solving difficult problems in data science not only prepares you for the future but also teaches you the latest tools, techniques, algorithms and packages that have been introduced in the industry. With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio.

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Top 10 Azure Administrator Job Opportunities in 2024 [Career Options]

Knowledge Hut

As an enterprise data analyst, you must do statistical analysis on large datasets to extract insightful information from them. They are proficient in Azure services, have good programming skills in languages like Python, and are knowledgeable in machine learning algorithms, data analysis, and problem-solving techniques.