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ml-classification

What is Classification?

Classification is technique to categorize our data into a desired and distinct number of classes where we can assign label to each class.

Applications of Classification are: speech recognition, handwriting recognition, biometric identification, document classification etc.

https://medium.com/datadriveninvestor/classification-algorithms-in-machine-learning-85c0ab65ff4

https://medium.com/@Mandysidana/machine-learning-types-of-classification-9497bd4f2e14

https://towardsdatascience.com/a-tour-of-the-top-10-algorithms-for-machine-learning-newbies-dde4edffae11

Here we have the types of classification algorithms in Machine Learning:

  1. Linear Classifiers: Logistic Regression, Naive Bayes Classifier
  2. Support Vector Machines
  3. Decision Trees
  4. Boosted Trees
  5. Random Forest
  6. Neural Networks
  7. Nearest Neighbor

Liner Regression and Logistic Regression

https://www.youtube.com/watch?v=OCwZyYH14uw

Liner Regression

https://www.youtube.com/watch?v=zPG4NjIkCjc

https://www.youtube.com/watch?v=E5RjzSK0fvY

Liner Regression Calculation

https://www.youtube.com/watch?v=JvS2triCgOY

Calculate estimate value

https://www.youtube.com/watch?v=w2FKXOa0HGA

https://www.youtube.com/watch?v=r-txC-dpI-E

Decision Tree Classification

pip3 install numpy scipy scikit-learn
pip3 install pydotplus
sudo apt-get install graphviz

Support Vector Machine

https://www.youtube.com/watch?v=N1vOgolbjSc

https://www.youtube.com/watch?v=TtKF996oEl8

https://www.youtube.com/watch?v=Y6RRHw9uN9o

https://www.youtube.com/watch?v=xa0i0rW68-s

https://www.youtube.com/watch?v=mTyT-oHoivA