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1. Heart-Attack---EDA-Prediction-91-accuracy- Heart-Attack---EDA-Prediction-91-accuracy- Public

   "Accuracy OF Models" linearregression = 0.57% svm = 0.89% RF = 0.87% log = 0.91% DT = 0.86%

   Jupyter Notebook 1

2. insurance insurance Public

   In this project, I used linear regression, polynomial features, and random forest models, achieving a maximum accuracy of 0.92.

   Jupyter Notebook 2

3. bank_personal bank_personal Public

   Bank_Personal_Loan(Classification) EDA and Predict

   Jupyter Notebook 2

4. Country-data Country-data Public

   in this project i used PCA and K_means models .

   Jupyter Notebook 2

5. CustomerData CustomerData Public

   MODELS = K_Mean / GMM / Hierarichical clustering / Mean Shift / Affinity Propagtion / DBSCAN

   Python 1