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Data Science Projects

Things to explore:

  • Linear Regression 
  • Logistic Regression 
  • Jackknife Regression
  • Density Estimation 
  • Confidence Interval 
  • Test of Hypotheses 
  • Pattern Recognition 
  • Clustering - (aka Unsupervised Learning)
  • Supervised Learning 
  • Time Series 
  • Decision Trees 
  • Random Numbers 
  • Monte-Carlo Simulation 
  • Bayesian Statistics 
  • Naive Bayes 
  • Principal Component Analysis - (PCA)
  • Ensembles 
  • Neural Networks 
  • Support Vector Machine - (SVM)
  • Nearest Neighbors - (k-NN)
  • Feature Selection - (aka Variable Reduction)
  • Indexation / Cataloguing
  • (Geo-) Spatial Modeling 
  • Recommendation Engine
  • Search Engine
  • Attribution Modeling
  • Collaborative Filtering
  • Rule System 
  • Linkage Analysis 
  • Association Rules 
  • Scoring Engine 
  • Segmentation 
  • Predictive Modeling 
  • Graphs 
  • Deep Learning 
  • Game Theory 
  • Imputation 
  • Survival Analysis 
  • Arbitrage 
  • Lift Modeling 
  • Yield Optimization
  • Cross-Validation
  • Model Fitting
  • Relevancy Algorithm
  • Experimental Design

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Various data science projects. Any project sufficiently large will be moved to its own repo.

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