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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

Now that you know why it is important to manage unstructured data correctly and what problems it can cause, let's examine a typical project workflow for managing unstructured data. They assist in efficiently managing and processing data from multiple sources, ensuring smooth integration and analysis across diverse formats.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Here are some project ideas suitable for students interested in big data analytics with Python: 1. Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA). Implement real-time analytics to monitor trends or anomalies in the data.