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Unlocking data science 101: The essential elements of statistics, Python, models, and more

Data Science Dojo

Machine learning is a field of computer science that uses statistical techniques to build models from data. These models can be used to predict future outcomes or to classify data into different categories. It provides a fast and efficient way to manipulate data arrays. Pandas is a library for data analysis.

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From Data to Decisions: Deep Dive into Workshop Learnings

Women in Big Data

Learning Objectives Recap: Paradigms in Data Science: We explored the two main paradigms in data science: descriptive analytics (understanding what happened in the past) and predictive analytics (using models to forecast future outcomes).

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Winners of the Ocean Protocol Holiday Build-A-Thon

Ocean Protocol

Post3 is designed to extract and analyze data from Web3 media platforms. The Post3 platform addresses a recurring demand for searchability and data analysis in Web3 news, alerts, and digital media. Areas like automation, data processing, and predictive analytics were potential fields to explore for solutions.

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Data Demystified: What Exactly is Data?- 4 Types of Analytics

Pickl AI

Using the right data analytics techniques can help in extracting meaningful insight, and using the same to formulate strategies. The analytics techniques like descriptive analytics, predictive analytics, diagnostic analytics and others find application in diverse industries, including retail, healthcare, finance, and marketing.