Build a Beginner-Friendly AI Threat Detector: A Simple Data Science Project for 2025
<p data-start="485" data-end="744">Cybersecurity is changing fast, and one of the biggest trends in 2025 is the rise of <strong data-start="571" data-end="602">AI-powered threat detection</strong>. Even beginners in data science can now build simple models that identify suspicious patterns, phishing attempts, and abnormal user behaviour.</p>
<p data-start="746" data-end="988">In this hands-on tutorial, we’ll build a <strong data-start="787" data-end="827">Beginner-Friendly AI Threat Detector</strong> using easy and understandable data science techniques.<br data-start="882" data-end="885">You don’t need advanced coding or cybersecurity experience, just curiosity and basic Python knowledge.</p>
<p data-start="990" data-end="1155">By the end of this Lab, you will understand how modern security tools use <strong data-start="1064" data-end="1122">machine learning, anomaly detection, and AI automation</strong> to protect systems in real time.</p>
<p data-start="1157" data-end="1187">This project is perfect for:</p>
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<p data-start="1190" data-end="1223">Students exploring data science</p>
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<p data-start="1226" data-end="1260">Beginners entering cybersecurity</p>
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<p data-start="1263" data-end="1295">Anyone curious about AI trends</p>
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<p data-start="1298" data-end="1347">Developers who want a practical starter project</p>
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<p data-start="1350" data-end="1405">Learners building a portfolio for internships or jobs</p>
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