The project needs to be done in R programming language. Please make the report in such a way so I can explain it as I have to make a video illustrating the coding part. We need to apply different methods of data analytics techniques to determine which is the best one out of all them and then explain why it is the best. Please use IEEE format for referencing sources
Please build the project around the topics below as we have been taught the following topics in class:
- Types of Data, Methodologies, Exploring Data Sets, Determining Data Quality
- Statistics Refresher: distributions, descriptives, and statistical tests
- Correlation and Simple Linear Regression
- Multiple Linear Regression
- Classification: logistic regression, kNN, and Naïve Bayes
- Linear Model Selection and Regularization –
7.Tree-based Models
- Time series I: trends and seasonality; univariate time series
- Time series II: multivariate time series
- Unsupervised Learning: Principal Components Analysis, Clustering
- Building Dashboards
REVISION:
Please confirm me if the write can deliver the project in specified above that is - PDF report
- R file containing all the codes for pre-processing, transformation and modeling for all three datasets