Course Content
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Module 1 Foundations of Date Science: Data Visualization and Interpretation
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Module 2 Data Preprocessing and Imputation
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Module 3 Predictive Analytics: Supervised Learning Algorithms
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Module 4 (Advanced Analytics 1) unsupervised Learning Algorithms
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Module 5
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Module 6
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Module 7
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Module 8
Part -7
Part-7: Data Imputation and outlier treatment :
- Outlier treatment with robust measurements
- Outlier treatment with central tendency Mean
- Outlier with Min Max Likelihood methods
- Outlier Detection with Density Based
- Visualize Outlier Treatment
- Outlier with Residual Analysis
- Outlier Detection with PCA Analysis
- Data Imputation with series Central Tendency