1. Numpy library
2. Pandas Library
3. Linear Regression
4. Multivariable Linear Regression
5. Logistic Regression
6. Data Preprocessiong
7. KNN (k Nearest neighbor) Algorithm
8. Naive Bayes
9. Support Vector Machin (SVM)
10. Decision Tree
11. Random Forest
12. XGBoost Model
13. K-Means Cluster Model (unsupervised learning)
14. DBScan Cluster Model(unsupervised learning)
15. PCA (Principal Component Analysis)
16. Polynomial Regression
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Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)
fayzi-dev/machin_learning
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Machin Learning Full Algorithm (Linear Regression, Decision tree, Random forest, Neural network ,Logistic regression ,Support vector machine ,Naive Bayes ,Clustering, XGBoost,DBscan,KMeans)
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