Coursework: MITx 15.071x The Analytics Edge

Coursework for MITx 15.071x The Analytics Edge.

Content:

The course uses R scripts for learning and evaluation purposes:

• Unit 1: An Introduction to Analytics
  1. An analytical detective
  2. Stock dynamics
  3. Demographics and employment in the US
• Unit 2: Linear Regression
  1. Climate change
  2. Reading test scores
  3. Detecting flu epidemics via search engine query data
• Unit 3: Logistic Regression
  1. Popularity of music records
  2. Predicting parole violators
  3. Predicting loan repayment
• Unit 4: Trees
  1. Understanding why people vote
  2. Letter recognition
  3. Predicting earnings from census data
• Unit 5: Text Analytics
  1. Detecting vandalism on Wikipedia
  2. Automating reviews in medicine
  3. Separating spam from ham
• Unit 6: Clustering
  1. Document clustering with Daily Kos
  2. Market segmentation for airlines
  3. Predicting stock returns with cluster-then-predict
• Unit 7: Visualization
  1. Election forecasting revisited
  2. Visualizing network data
  3. Visualizing text data using word clouds
• Unit 8: Linear optimization (uses OpenOffice/LibreOffice)
  1. Investment management under taxation
  2. Filatoi Riuniti - Optimizing the production schedule
  3. Gasoline blending
  • Spreadsheets contains a Problem/Formulation sheet where the problem is formulated, and a QandAnswers sheet with the questions and answers evaluated.
• Unit 9: Integer optimization (uses OpenOffice/LibreOffice)
  1. Selecting profitable hotels
  2. Assigning sales regions at Pfizer Turkey
  3. Class assignments in an elementary school
  • Spreadsheets contains a Formulation sheet where the problem is formulated, and a QandAnswers sheet with the questions and answers evaluated.
• Kaggle competition: Can we predict voting outcomes?
  • Top 6% in the private leaderboard: 155th of 2875 players.
• Final exam

Due to sharing permissions, the datasets provided by the course staff are not shared publicly in this repo. If you need more information please contact me.