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I am Applying My Whole Machine Learning Concepts On Several Datasets and Solve Their Problems in a Relevant Manner.

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Binary Classification with TeleCom Churn Dataset..ipynb
Binary Classification with TeleCom Churn Dataset..ipynb
 
 
Clustering on TSNE_SCORES Dataset.ipynb
Clustering on TSNE_SCORES Dataset.ipynb
 
 
Customer_Dataset_for_Unsupervised_Learning.ipynb
Customer_Dataset_for_Unsupervised_Learning.ipynb
 
 
Eig_val,Eig_vec,PCA,LDA.ipynb
Eig_val,Eig_vec,PCA,LDA.ipynb
 
 
Fraud DataSet for Logistic Regression.ipynb
Fraud DataSet for Logistic Regression.ipynb
 
 
Logistic_Model_on_Titanic_Dataset.ipynb
Logistic_Model_on_Titanic_Dataset.ipynb
 
 
Medical Insurance Cost with Linear Regression.ipynb
Medical Insurance Cost with Linear Regression.ipynb
 
 
README.md
README.md
 
 
Wine_Dataset_For_Clustering(Unsupervised_Learning).ipynb
Wine_Dataset_For_Clustering(Unsupervised_Learning).ipynb
 
 
loan_prediction_project.ipynb
loan_prediction_project.ipynb
 
 

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Machine_Learning_Projects

Medical Insurance Cost with Linear Regression Click Here to Open File
FRAUD DataSet for Logistic Regression Click Here to Open File
Clustering on TSNE_SCORES Dataset(TSNE REDUCED) Click Here to Open File
Customer_Dataset_for_Unsupervised_Learning Click Here to Open File
Eig_val,Eig_vec,PCA,LDA Click Here to Open File
Logistic_Model_on_Titanic_Dataset Click Here to Open File
Wine_Dataset_For_Clustering(Unsupervised_Learning) Click Here to Open File
loan_prediction_project Click Here to Open File

Binary Classification with TeleCom Churn Dataset.. Click Here to Open File

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I am Applying My Whole Machine Learning Concepts On Several Datasets and Solve Their Problems in a Relevant Manner.

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linear-regression logistic-regression classification-algorithm unsupervised-machine-learning explora logistic-regression-classifier

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