Data Science with R (in Greek)

Includes Machine Learning algorithms (classification and clustering), Time Series Analysis, Factor Analysis and more. Most of them are excercises from my MSc studies.

Main Topics:

Machine Learning Algorithms (ML)

- Logistic Regression
- kNN
- Decision Trees
- Random Forests
- Support Vector Machines
- Hierarchical Clustering
- kMeans Clustering

Timeseries

- Seasonal trend and Deseasonalizing 
- Visualizations
- Trend Calculation (Linear, Quadratic, etc)
- Cyclical Variations
- Differentiation
- Forecasting
- Autocorellations
- ARIMA models