Do problems 8.1, 8.2, 8.3, and 8.7 in Kuhn and Johnson. Please submit the Rpubs link along with the .rmd file.

Support Vector Machines

In Kuhn and Johnson do problems 6.2 and 6.3. There are only two but they consist of many parts. Please submit a link to your Rpubs and submit the .rmd file as well.

Experimentation & Model Training

Do the exercises 9.1, 9.2, 9.3, 9.5, 9.6, 9.7, 9.8 in Hyndman.

Do exercises 5.1, 5.2, 5.3, 5.4 and 5.7 in the Hyndman book.

Do exercises 3.1, 3.2, 3.3, 3.4, 3.5, 3.7, 3.8 and 3.9 from the online Hyndman book. .

Please submit exercises 2.1, 2.2, 2.3, 2.4, 2.5 and 2.8 from the Hyndman online Forecasting book.

Mixed Effects Models

Binary Logistic Regression

Multiple Regression Model

R

Principles of Data Visualization and Introduction to ggplot2

SQL and R

FINAL PROJECT DATA 606

Multiple linear regression

Chapter 8 - Multiple and Logistic Regression

Lab Chapter 5 - Inference for numerical data

Foundations for statistical inference - Confidence intervals

Foundations for statistical inference - Sampling distributions

The Normal Distribution

Intro to R