/Data-Visualizations-and-ML-Algorithms-using-R

Basic data visualizations, Statistics and Machine Learning algorithms are implemented using R Language

Primary LanguageR

ILLUSTRATED CONCEPTS

  • Following Graphs are explained with small use cases
2D Pie Charts 3D Pie Charts Barplots Stacked Barplots
BoxPlots Histograms ScatterPlots Line Charts
RasterPlots Frequency Polygons JitterPlots ViolinPlots

  • Commonly used plots in ggplot2 library are explained

  • map_data for basic map functions

  • Leaflet library for advanced interactive map functions

  • Performing data visualization on Excel Data using readxl library
       -Use "Train.xlsx" as sample Excel file

  • Following Statistical operations have been performed

Mean Normal distribution - PDF Binomial distribution - PDF Analysis of Variance
Median Normal distribution - CDF Binomial distribution - CDF Time Series
Mode Normal distribution - Quantile Binomial distribution - Quantile
  • Following Machine Learning Algorithms have been explained
Linear Regression Decision Trees Hierarchial Clustering
Multiple Linear Regression Random Forest K-means Clustering
Logistic Regression Survival Analysis