Introduction to Data Science Level-01. Dive into machine learning, model building, and statistics. Work on projects in prediction, classification, and clustering.
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Dive into machine learning, model building, and statistics. Work on projects in prediction, classification, and clustering.
Apply machine learning algorithms, data cleaning, and model evaluation. Work on real-time datasets and industry cases.
Click any module to expand and view topics and hands-on labs included.
Master Python fundamentals, SQL querying, and integrate databases with data science workflows.
Build and evaluate regression, classification, and ensemble models using Scikit-learn.
Apply advanced feature engineering, selection techniques, and cross-validation for robust models.
Implement clustering algorithms and dimensionality reduction for pattern discovery and segmentation.
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Join 8,420+ professionals who have advanced their skills. Enroll today and get certified in just two months.
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