Hello !

Name: Devesan Govindasamy
Student id : D20124946
Course: TU059 M.Sc Data Science(Full time)


This is a digital Portfolio created as an Assignment for the Course Probability and Statistical Inference

Language Used : R 4.0.2
Packages used: tidyverse, semtools, pastecs, psych, FSA, car, effectsize, userfriendlyscience, sjstats, gmodels lm.beta, stargazer, ggplot2, Epi, generalhoslem,regclass, DescTools, arm, REdaS, Hmisc, corrplot , ggcorrplot, factoextra, nFactors

Prepare

  • Population and Sample
  • Describing Sample
  • Hypothesis test
  • Understanding the dataset

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Explore

  • Descriptive statistics
  • Assesing Normality and errors
  • Statistical Power and Statistical Significance
  • Correlation
  • Exploring Dataset

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Model

  • Differential and interaction effect
  • Dummy/indicator variable
  • Linear,Logistical Regression
  • Dimension Reduction
  • Modelling Dataset

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Independent Project

  • Section 1
  • Section 2
  • Section 3
  • Section 4

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