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Two types of problems:

  1. Classification (predict label)
  2. Regression (predict values)

Most Common Regression Algorithms

  1. Simple Linear Regression Model
  2. Logistic Regression
  3. Lasso Regression
  4. Support Vector Machines
  5. Polynomial Regression
  6. Stepwise Regression
  7. Ridge Regression
  8. Multivariate Regression Algorithm
  9. Multiple Regression Algorithm
  10. K Means Clustering Algorithm
  11. Naïve Bayes Classifier Algorithm
  12. Random Forests
  13. Decision Trees
  14. Nearest Neighbours
  15. Lasso Regression
  16. ElasticNet Regression
  17. Reinforcement Learning
  18. Artificial Intelligence
  19. MultiModal Network
  20. Biologic Intelligence

Prerequistes

Python 3.5+
Jupyter Notebook Python 3

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