OpenGenus IQ Machine Learning task list

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(Aditya Chatterjee) #1

Congratulations on considering to write at OpenGenus IQ :brain: for Machine Learning.

This is a small list of topics that you can write about Machine Learning :robot:.

To become a writer at OpenGenus IQ, check out this guide

For using this task list, check out this guide.

Following is the list of topics:

Dimension Reduction Algorithms

  • Principal Component Analysis (PCA)
  • Principal Component Regression (PCR)
  • Partial Least Squares Regression (PLSR)
  • Sammon Mapping
  • Multidimensional Scaling (MDS)
  • Projection Pursuit
  • Linear Discriminant Analysis (LDA)
  • Mixture Discriminant Analysis (MDA)
  • Quadratic Discriminant Analysis (QDA)
  • Flexible Discriminant Analysis (FDA)

Decision Tree algorithms

  • Classification and Regression Tree (CART)
  • Iterative Dichotomiser 3 (ID3)
  • C4.5 and C5.0 (different versions of a powerful approach)
  • Chi-squared Automatic Interaction Detection (CHAID)
  • Decision Stump
  • M5
  • Conditional Decision Trees

Bayesian Algorithms

  • Naive Bayes
  • Gaussian Naive Bayes
  • Multinomial Naive Bayes
  • Averaged One-Dependence Estimators (AODE)
  • Bayesian Belief Network (BBN)
  • Bayesian Network (BN)

Ensemble Algorithms

  • Boosting
  • Bootstrapped Aggregation (Bagging)
  • AdaBoost
  • Stacked Generalization (blending)
  • Gradient Boosting Machines (GBM)
  • Gradient Boosted Regression Trees (GBRT)
  • Random Forest

Regression Algorithms

  • Ordinary Least Squares Regression (OLSR)
  • Linear Regression
  • Logistic Regression
  • Stepwise Regression
  • Multivariate Adaptive Regression Splines (MARS)
  • Locally Estimated Scatterplot Smoothing (LOESS)

Neural Networks

  • Perceptron (assigned to @itsmepiyush2)
  • Feed Forward
  • Radial Basis Network
  • Deep Feed Forward
  • Recurrent Neural Network
  • Markov Chain

Check this out to get started on an exciting new journey
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