Artificial Intelligence
Working With Data: The Real Engine of ML
Working With Data: The Real Engine of ML is a course in AI & Machine Learning Mastery: From Zero to Practitioner. 10 lessons covering Data Collection and Sourcing — Finding the Data You Need; Data Quality — Auditing, Diagnosing, and Fixing Real-World Problems; Outlier Detection and Treatment — Managing Extreme Values.
10 published lessons · Online learning · Part of Learn & Grow
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What this course covers
- Data Collection and Sourcing — Finding the Data You Need · 13 min
- Data Quality — Auditing, Diagnosing, and Fixing Real-World Problems · 13 min
- Outlier Detection and Treatment — Managing Extreme Values · 12 min
- Advanced Encoding — Handling High-Cardinality Categoricals · 13 min
- Scaling and Normalisation — Matching Transformations to Distributions · 12 min
- Feature Selection — Removing What Hurts, Keeping What Helps · 13 min
- Building a Complete Data Preparation Pipeline — Nigerian Fintech Use Case · 14 min
- Time Series Data — Special Rules for Sequential Predictions · 14 min
- Data Augmentation — Creating More Training Data When You Have Too Little · 12 min
- Data Ethics and Privacy in Nigerian ML — NDPA 2023 and Responsible Data Use · 14 min
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This course belongs to AI & Machine Learning Mastery: From Zero to Practitioner. Explore the full academy to see the other courses in this learning path.
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