IE 421 • Final • Data Science for Engineers

Modelling

Vocabulary of Modelling

Fitting and Interpreting a Model

Parameter Estimation

Exercise 1

Categorical Predictors

Exercise 2

What is Data Preprocessing?

Exercise 1

Exercise 2

Centering and Scaling

Exercise 3

Exercise 4

Standardization and Normalization

Exercise 5

Exercise 6

Skewness

Exercise 7

Data Reduction

Exercise 8

One-hot and Dummy Encoding

Exercise 9

Label Encoding

Exercise 10

Missing Values

Exercise 11

Data Leakage

Unbalanced Data

Exercise 12

Checking Data

Checking Linear Relation

Transform Data for Linear Relationship

Multiple Linear Regression

Exercise 1

Numerical and Categorical Predictors

Main and Interaction Effects

Exercise 2

Comparing Models

Exercise 3

Data Exploration

Exercise 1

Preprocessing Step

Fitting a Model Using a Recipe

Exercise 2

Performance Evaluation

Cross Validation

Exercise 3

What is PCA?

Apply PCA Step by Step

Packages for PCA

Exercise 1

Exercise 2

Exercise 3

Exercise 4

Statistical Inference and Confidence Interval

Bootstrapping

Confidence Interval

Exercise 1

Bootstrapping With tidymodels Package

Exercise 2

Accuracy vs Precision

Final Question 1

Final Question 2

Final Question 3

Final Question 4

Final Question 5

Final Question 6

Final Question 7

Final Question 8

Final R Markdown Creation