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Machine Learning

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AI ML Life Cycle Types of ML Introduction to Supervised ML Linear Regression Logistic Regression Decision Tree Random Forest Support Vector Machine (SVM) Evaluation Metrics for Supervised Introduction to Unsupervised ML Clustering & Clustering Techniques K-means Clustering Hierarchical Clustering

Machine Learning

Module Curriculum

1. AI ML Life Cycle Start → 2. Types of ML Start → 3. Introduction to Supervised ML Start → 4. Linear Regression Start → 5. Logistic Regression Start → 6. Decision Tree Start → 7. Random Forest Start → 8. Support Vector Machine (SVM) Start → 9. Evaluation Metrics for Supervised Start → 10. Introduction to Unsupervised ML Start → 11. Clustering & Clustering Techniques Start → 12. K-means Clustering Start → 13. Hierarchical Clustering Start →
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