Add more machine learning algorithms

[param087]

Algorithms

• Linear Model

  • Ordinary Least Squared Linear Regression
  • Gradient Descent Linear Regression
  • Stochastic Gradient Descent Linear Regression
  • Logistic Regression
  • Lasso Regression
  • Ridge Regression
  • Elastic Regression
  • Bayesian Regression
  • SVD Regression

• SVM (Support Vector Machine)

  • SVC
  • SVR
  • LinearSVC
  • LinearSVR
  • NuSVC
  • NuSVR

• Cluster

  • KMeans
  • DBSCAN
  • Spectral clustering
  • Hierarchical clustering

• Decomposition

  • PCA
  • Sparse PCA
  • Kernel PCA
  • Incremental PCA

• Naive Bayes

  • Bernoulli Naive Bayes
  • Nultinomial Naive Bayes
  • Gaussian Naive Bayes
  • Complement Naive Bayes

• Neighbors

  • Nearest Neighbors Classifier
  • Nearest Neighbors Regressor
  • Nearest centroid classifier

• Tree

  • Decision Tree

• Ensemble

  • Random Forest
  • Gradient Boosting
  • XGBoost
  • AdaBoost
  • Stacking
  • Voating

Some of the Tree base algorithms are implemented but need some review.

[param087]

I could help you complete the "Nearest centroid classifier". I'd love to help out the community driven project.

Go ahead but do follow https://github.com/param087/swiftML/blob/master/CONTRIBUTING.md

[das-ankur]

I want to implement linear models. Can I start working?

[param087]

Yes @das-ankur, you can start working on it. If you need any help, please reach out to me.