Add more machine learning algorithms

[param087]

Algorithms

• Linear Model

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

• SVM (Support Vector Machine)

  • [ ] SVC
  • [ ] SVR
  • [ ] LinearSVC
  • [ ] LinearSVR
  • [ ] NuSVC
  • [ ] NuSVR

• Cluster

  • [x] KMeans
  • [ ] DBSCAN
  • [ ] Spectral clustering
  • [ ] Hierarchical clustering

• Decomposition

  • [x] PCA
  • [ ] Sparse PCA
  • [ ] Kernel PCA
  • [ ] Incremental PCA

• Naive Bayes

  • [x] Bernoulli Naive Bayes
  • [x] Nultinomial Naive Bayes
  • [x] Gaussian Naive Bayes
  • [ ] Complement Naive Bayes

• Neighbors

  • [x] Nearest Neighbors Classifier
  • [x] Nearest Neighbors Regressor
  • [ ] Nearest centroid classifier

• Tree

  • [x] Decision Tree

• Ensemble

  • [x] Random Forest
  • [ ] Gradient Boosting
  • [ ] XGBoost
  • [x] 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.