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