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Focused on hands-on learning, this course provides a collection of 40 real-world projects that span the data science and machine learning spectrum. Learners will work through industry-relevant problems in finance, healthcare, marketing, and more, using tools such as Python, scikit-learn, pandas, and Tensor Flow. Each project includes data preprocessing, exploratory analysis, model selection, and performance evaluation. By applying theoretical concepts in practical scenarios, learners gain valuable experience in end-to-end data science workflows. This project-based course is perfect for aspiring data...
Pianalytix ⢠75,000+ Students Worldwide
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