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3.4 Election Forecasting: Predicting the Winner Before any Votes are Cast (Recitation) (M-I-T)

(6 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • 3.4.1 Welcome to Recitation 3 (M-I-T)
3.4 Election Forecasting: Predicting the Winner Before any Votes are Cast (Recitation) (M-I-T) MIT John Siberholz Social Sciences
2
  • 3.4.2 Video 1: Election Prediction (M-I-T)
3.4 Election Forecasting: Predicting the Winner Before any Votes are Cast (Recitation) (M-I-T) MIT John Siberholz Social Sciences
3
  • 3.4.3 Video 2: Dealing with Missing Data (M-I-T)
3.4 Election Forecasting: Predicting the Winner Before any Votes are Cast (Recitation) (M-I-T) MIT John Siberholz Social Sciences
4
  • 3.4.4 Video 3: A Sophisticated Baseline Method (M-I-T)
3.4 Election Forecasting: Predicting the Winner Before any Votes are Cast (Recitation) (M-I-T) MIT John Siberholz Social Sciences
5
  • 3.4.5 Video 4: Logistic Regression Models (M-I-T)
3.4 Election Forecasting: Predicting the Winner Before any Votes are Cast (Recitation) (M-I-T) MIT John Siberholz Social Sciences
6
  • 3.4.6 Video 5: Test Set Predictions (M-I-T)
3.4 Election Forecasting: Predicting the Winner Before any Votes are Cast (Recitation) (M-I-T) MIT John Siberholz Social Sciences

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