Rcourse

Rcourse_vol1

R for beginners.

Course for Big Data seminar.

Contents:

• Introduction to syntax
• Vectors, matrices, data.frames, lists
• Graphics
• Regression analysis
• Time series analysis
• Cluster analysis
• BONUS - data stream clustering

Rcourse_vol2

R for beginners volume 2.

Materials for Big Data seminar and KDD course.

Contents:

• Introduction to syntax,
• Visualisations (basic, ggplot2, plotly, dygraph, animations),
• Time series classification and cluster analysis.

Cluster Analysis

Presentation for Big Data seminar.

Contents:

• What is clustering?
• Types of clustering methods
  • Centroid-based
  • Model-based
  • Density-based
  • Spectral clustering
  • Hierarchical clustering

KDD excercises

Exercises for KDD course.

Contents:

• Classification of Iris dataset with Naive Bayes method,
• Feature engineering and exploratory analysis with ozone and genes leukemia datasets (description of TASKS),
• Typical workflow for linear regression task with ozone dataset,
  • Linear regression on Boston housing dataset (description of TASKS),
• Typical workflow for logistic regression (classification task) with Titanic dataset (download dataset from here),
• Dimensionality reduction - PCA step by step explained, Multidimensional scaling, t-SNE with pendigits dataset (description of dataset).

More info

For more information and tutorials please visit my website petolau.github.io.