Duration: 30 hrs | Level: Beginner to Advanced
Learn the fundamentals of Machine Learning including supervised & unsupervised algorithms, predictive modeling, and real-world applications.
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Prerequisites: Basic programming knowledge recommended.
Tools: Python, Jupyter Notebook, scikit-learn, Pandas, Matplotlib.
Projects: Build ML models for prediction, classification, and real-life datasets.
✔ Students aiming for a career in AI/ML
✔ Developers looking to expand skills into ML
✔ Data enthusiasts and innovators
Course Completion Certificate
Internship Completion Certificate