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README.md

psyc63

This gihub repository provides lab materials that accompany Psyc63 Experimental Study of Behavior at Dartmouth College. Labs will consist of working through Jupyter Notebooks that contain exercises in Python. Jupyter Notebooks can be installed by downloading and installing Anaconda Python 2.7.

Jupyter Notebooks

Introduction to Python

  • Installation
  • Notebooks
  • Variables
  • Loops and Conditional Statements
  • Functions
  • Containers
  • Modules

Data Analysis I

  • Data Checking
  • Data Plotting
  • Linear Model Regression
  • Model Comparisons

Data Analysis II

  • Logistic Regression
  • Classification
  • Prediction
  • Cross-validation
  • Regularization Techniques
    • Lasso & Ridge

Data Analysis III

  • Mediation Analysis
  • Moderation Analysis

Social Network Analysis

  • Primer to Social Network Analysis
  • NetworkX
  • Micromeasures
    • degree centrality
    • betweenness centrality
    • closeness centrality
    • Eigenvector centrality
  • Macromeasures - Degree Distribution - Average shortest path - Clustering coefficients

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Repository of jupyter notebooks for Psyc63 Experimental Study of Behavior at Dartmouth College

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