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minhtri

Tri Minh Bui

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11. Linear regression - Machine learning
10. Linear regression - Choosing optimal Model
9. Linear regression - Bayesian framework
8. Linear regression - Frequentist approach
7. Dealing with outliers or non-normal distribution
6. Parametric or Nonparametric - Assessing Normality
5. Correlation analysis
4. The R environment - Data Wrangling
3. Dealing with missing data: Imputation
2. Table - Descriptive analysis
1. Clustering practise
Coursera_Project Final Report
Coursera_Animations and Interactivity
Coursera_Practice Animations
Coursera_Data visualization assignment
Coursera_Reproducible Research Project 2