- Master data science fundamentals with hands-on exercises and real-world examples.
- Learn essential data science tools and techniques, including Python, NumPy, Pandas, and scikit-learn.
- Explore data visualization, data cleaning, and feature engineering.
- Build and evaluate machine learning models for classification, regression, and clustering.
- Gain practical experience with data science projects and case studies.
- Understand the ethical and social implications of data science.
- Prepare for a career in data science with confidence.
- Enhance your problem-solving and critical thinking skills.
ISBNs: 9781108472449, 1108472443, 9781108673907, 1108673902,
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