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Data-with-R

This repo contains some data analytic reports. These reports are generated using Rstudio. Some of these projects include:

  • ARIMA models diagnostics, ARIMA model forecasting, and Spectral Analysis for Time Series data.

    This file includes:

    • Model Selection
    • Model fitting
    • Model diagnostics
    • Prediction Using the selected Model
    • Spectre Analysis to determine the strongest frequencies.
  • Regression Analysis with Continuous variables

    The data used in this file comes from Faraway library, fat data. We are trying to predict fat percentage, siri using the rest of the predictors excluding brozek and density. This is what is included in this file:

    • Fitting Linear regression with all of the predictors
    • Linear regression that selects variable using AIC
    • Partial Component variable selection Regression
    • Partial Least Square Variable selection Regression
    • Ridge Regression
    • Lasso Regression
    • Comparing The performace of the above models using Residual Mean Square Error (RMSE) method and deciding which model does the best.