https://github.com/kmohamedalie/supervised_machine_learning-classification

Supervised Machine Learning Algorithms
https://github.com/kmohamedalie/supervised_machine_learning-classification

decision-tree-classifier knn-classifier lasso-regression naive-bayes-algorithm precison-recall random-forest ridge-regression support-vector-machines

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Supervised Machine Learning Algorithms

• Host: GitHub
• URL: https://github.com/kmohamedalie/supervised_machine_learning-classification
• Owner: Kmohamedalie
• License: mit
• Created: 2023-07-27T13:47:08.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-10-10T19:03:08.000Z (about 1 year ago)
• Last Synced: 2023-10-11T00:14:27.277Z (about 1 year ago)
• Topics: decision-tree-classifier, knn-classifier, lasso-regression, naive-bayes-algorithm, precison-recall, random-forest, ridge-regression, support-vector-machines
• Language: Jupyter Notebook
• Homepage: https://github.com/Kmohamedalie/Supervised_Machine_Learning
• Size: 4.77 MB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Supervised Machine Learning - Classification Algorithms

Course: 365datascience - Supervised  Machine Learning Bootcamp

**Supervised learning:** is a type of machine learning in which machine learn

from known datasets (set of training examples), and then predict the output.

A supervised learning agent needs to find out the function that matches a given sample set.

Supervised learning further can be classified into two categories of algorithms:

1) **Regression :** When the outcome is pure numeric value. 

	eg : Home price prediction. You are trying to estimate value of price.

2) **Classification :** When the outcome is a category/class. 

	eg: Fraud detection. You are trying to identify Yes/No class




However in this repository we will be focusing solely on the following classification algorithms:







   

      

         Algorithms 

         Notebooks

        Datasets

      

   

   

      

        Naïve Bayes 

        MultinomialNB 

        Youtube Spam Collection 

      

      

        K-Nearest Neighbors 

        K-NN Grid Search CV 

        Synthetic Data 

      

      

        Logistic Regression 

         

        

         

      

        Decision Tree - Random Forests

          Decision Tree ,

		RF - Glass Identification, RF - Census Income

	

        

		Iris Flower ,

	         Glass Identification ,

	        Census Income	

        

      

        Support Vector Machines  

         SVM

        Mushroom 

      

      

        Ensemble - Xgboost 

	Xgboost

         IBM Telco Customer Churn