Add documentation for all implemented ML Algos

[indrapaul824]

Add all required theoretical and mathematical descriptions of each algorithm implemented.

• Linear:

  • Lasso Regression
  • Linear Regression
  • Linear discriminant analysis
  • Logistic Regression
  • Lowess Regression
  • Principal Component Analysis
  • Ridge Regression
  • Support Vector Machine
  • Elastic Net

• Tree:

  • Decision Tree
  • Random Forest
  • XGBoost

• Probabilistic:

  • Bayesian Regression
  • Naive Bayes
  • Gaussian Mixture Model
  • Hidden Markov Model
  • Markov's Chain

• Clustering:

  • DBSCAN
  • K-Means

• Non-Linear:

  • Genetic Algorithm
  • K Nearest Neighbors
  • Multilayer Perceptron
  • Neural Network