Machine Learning Task Lists

Documentation format: Begin by adding the notation: (initial on 2019/08/07 by @name) During the process by adding the notation: (implemented/tested/specified on 2019/08/07 by @name) Closed by adding the notation: (finished on 2019/08/07 by @name)

Dimension Reduction Algorithms + Preprocessing

• Principal Component Analysis (PCA)
• Whitening using PCA (assigned to @Surya)
• 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)

Autoencoder

• autoencoder (assigned)
• implementation in TensorFlow (assigned to @Surya)
• variants of autoencoders (assigned to @abhinavp403)
• Undercomplete autoencoder
• Sparse autoencoders
• Denoising autoencoders
• Contractive autoencoders
• applications of autoencoders (assigned to @Nidhi)

Decision Tree algorithms

• Classification and Regression Tree (CART)
• Iterative Dichotomiser 3 (ID3) (assigned to @Nidhi)
• 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 (assigned to @inishchith)
• Radial Basis Network
• Deep Feed Forward (assigned to @inishchith)
• Recurrent Neural Network
• Markov Chain

Generative Adversarial Network

• Generative Adversarial Network (assigned to @shubhank19)
• Applications of GANs
• Natural Language Processing (NLP)
• tf-idf (assigned to @Chaitanyasuma)