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title: 'Key Lessons from ML Zoomcamp: Serena Haidar'
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DataTalks.Club’s [ML Zoomcamp](https://datatalks.club/blog/machine-learning-zoomcamp.html){:target="_blank"} is a free, four-month online course on machine-learning fundamentals and deploying models to production.
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DataTalks.Club’s [ML Zoomcamp](https://datatalks.club/blog/machine-learning-zoomcamp.html){:target="_blank"} is a free, four-month online course on machine-learning fundamentals and deploying models to production. To complete the course and earn a certificate, students submit a final project and participate in peer evaluation.
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In our previous article, we covered graduate Serena Haidar’s end-to-end capstone. In this follow-up, she shares key lessons, study pace, how to get unstuck, and how the program shaped her approach to ML engineering.
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In our previous article, we profiled Serena Haidar’s [end-to-end waste-classifier project](https://datatalks.club/blog/how-to-build-waste-classifier-case-study-from-ml-zoomcamp.html) from her Zoomcamp capstone. In this follow-up article, Serena shares the lessons that mattered most: study cadence, how to overcome obstacles, and how the program influenced her approach to ML engineering.
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## Key Lessons Learned
2020

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