brendaparnin
Brenda Parnin
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Kaplan-Meier
Exercise 3: DA-6213-002-Spring-2022-Data-Drive Decsn Mking&Design
Assignment 8_Support Vector Machines
STA-6543-01T-Summer-2021-Data Analytics Algorithms II - Support Vector Machines
Assignment 7_Tree-Based Methods
STA-6543-01T-Summer-2021-Data Analytics Algorithms II - Tree-Based Methods
Assignment 6_Moving Beyond Linearity
STA-6543-01T-Summer-2021-Data Analytics Algorithms II - Moving Beyond Linearity
Assignment 5_Linear Model Selection and Regularization
STA-6543-01T-Summer-2021-Data Analytics Algorithms II - Linear Model Selection and Regularization
Assignment 4_Resampling Models
STA-6543-01T-Summer-2021-Data Analytics Algorithms II - Resampling Models
Assignment 3_Classification
STA-6543-01T-Summer-2021-Data Analytics Algorithms II - Assignment 3_Classification
Linear Regression
Assignment 2
Statistical Learning: Assignment 1
STA-6543-01T-Summer-2021-Data Analytics Algorithms II
R using Interactive Visualizations
includes:
- ggplotly
- highcharter
- hchart
Algo- Simple and Multiple Linear Regression
Includes:
- fitting linear regression models
- removing influential points using Cooks Distance
- Understanding the significance of the parameters
R using ggplot
Creating different graphs using ggplot
- scatter plot
- histogram
- bar
- jitter
- smooth
R Basics
File Includes:
- Creating DF
- Inner Join
- Merge
- Summarize
- If Else
- Select
-Mutate
Algo - Intro
Includes
- reading boxplots
- understanding normal distribution
- Shapiro test
- Hypothesis testing
- one and two sample t-test