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Intermediate Statistics (STAT 2)


Description

Correlation

Linear , Logistic and Time Series Regression

Cluster Analysis

Decision Tree

Factor Analysis & PCA

Content
  • 1 Correlation
  • 2 Exploratary Data Analysis
  • EDA in R example
  • EDA
  • 3a Regression Introduction
  • 3b Regression - Model Interpretation
  • 3c Regression - Assumption Check
  • 3d Regression - Outliers
  • 3e Regression - Model validation
  • 3f Regression - R output
  • 3g Regression - Dummy Variable
  • 3h Regression - Stepwise regression
  • assignment_Regression
  • 4a Logistic Regression - Introduction
  • 4b Logistic Regression - Interpretation & Example
  • 4c Logistic Regression - Model validation
  • 4d Logistic Regression - Threshold calculation using ROC
  • 5a Time Series Introduction
  • 5b Time Series - Moving Average
  • 5c Time Series - Exponential Smoothing
  • 5d Time Series - Decomposition of Time Series in R
  • 5e Time Series - ARIMA
  • 5f Time Series - ARIMA in R
  • 5g Time Series - ARIMAX
  • Assignment Time Series in R
  • 6a Cluster Analysis - Introduction
  • 6b Cluster Analysis - Hierarchical Method
  • 6c Cluster Analysis - Partition Based Methods
  • 6d Cluster Analysis - Kmeans in R
  • 6e Cluster Analysis - Validation
  • 7 Supervised Clustering - KNN
  • 7 Supervised Clustering - KNN detailed explanation
  • 5f Time Series - ARIMA in R (clone)
Completion rules
  • All units must be completed
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