/Data-Science-R

Contains the data science projects using R programming language. The projects cover most of the data science and machine learning concepts such as EDA, PCA, Regression Analysis, Classification Analysis, Feature Selection Techniques, ML Performance Evaluation, Clustering Analysis, Recommendation Engine, etc.

Data-Science-R

Following are some of the data science projects/assignments that I did using R programming language. Essential topics covered here are - Data Visualization and Exploratory Data Analysis with R, Supervised Machine Learning Problem, ML Interpretations and Feature Selection Techniques in R - Regression Analysis and Classification Analysis, Unsupervised Machine Learning Problem in R - PCA, Clustering Analysis, Recommendation Engine.

  1. EDA (Exploratory Data Analysis) and PCA (Principal Component Analysis) on Public Utility Companies based in USA.
  2. Regression Analysis - Multiple Linear Regression with Feature Selection Techniques for Airfares Prediction
  3. Classification Analysis - Spam Classifier using LDA (Linear Discriminant Analysis)
  4. Hitters Salary Prediction using Decision Tree (Regression Tree) and Ensemble Methods

Note : Each of these folders contain a .rmd (R Markdown document) which consists of the code written in R and .md (a readme file) which consists of the output - results, interpretation and explanation.