GitHub - gpirge/17.-Machine-Learning

This repo includes the following: the projects in the bootcamp, the projects in the Udemy course, some of the projects that I worked on.

The DataSets are in a separate folder.

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Name		Name	Last commit message	Last commit date
Latest commit History 77 Commits
DataSets		DataSets
Linear Regression Project.ipynb		Linear Regression Project.ipynb
Logistic Regression - Titanic.ipynb		Logistic Regression - Titanic.ipynb
ML-Car_Price_Prediction_Project-2.ipynb		ML-Car_Price_Prediction_Project-2.ipynb
ML-Car_Price_Prediction_Project.ipynb		ML-Car_Price_Prediction_Project.ipynb
ML-Classification-Tekrar-Rishar_Dec09.ipynb		ML-Classification-Tekrar-Rishar_Dec09.ipynb
ML-Classification_Clustering-SS-Project.ipynb		ML-Classification_Clustering-SS-Project.ipynb
ML-Clustering-Customer-Segmentation-Recap-Arthur-Dec26.ipynb		ML-Clustering-Customer-Segmentation-Recap-Arthur-Dec26.ipynb
ML-Dec-3_Proje_I_cozum-Rishar.ipynb		ML-Dec-3_Proje_I_cozum-Rishar.ipynb
ML-Decision Trees and Random Forest Project.ipynb		ML-Decision Trees and Random Forest Project.ipynb
ML-DecisionTree-RandomForest_Dec_06_martin.ipynb		ML-DecisionTree-RandomForest_Dec_06_martin.ipynb
ML-DecisionTree_Forest_XGBoost_Rishar-Dec06.ipynb		ML-DecisionTree_Forest_XGBoost_Rishar-Dec06.ipynb
ML-GMMClustering-Congress-Voting.ipynb		ML-GMMClustering-Congress-Voting.ipynb
ML-Hiearchical-Clustering-Congress-Voting.ipynb		ML-Hiearchical-Clustering-Congress-Voting.ipynb
ML-Hierarchical-Clustering_Rishar-Dec13.ipynb		ML-Hierarchical-Clustering_Rishar-Dec13.ipynb
ML-KMeans-Clustering-Rishar-Dec12.ipynb		ML-KMeans-Clustering-Rishar-Dec12.ipynb
ML-KMeans-Hieraarchical-Martin-Dec12.ipynb		ML-KMeans-Hieraarchical-Martin-Dec12.ipynb
ML-KMeans-Martin-Dec12.ipynb		ML-KMeans-Martin-Dec12.ipynb
ML-KNN-Rishar_Dec-5.ipynb		ML-KNN-Rishar_Dec-5.ipynb
ML-KNN_Project.ipynb		ML-KNN_Project.ipynb
ML-K_Means-Clustering-Congress-Voting.ipynb		ML-K_Means-Clustering-Congress-Voting.ipynb
ML-Lasso-Dec2-richard_notebook_2.ipynb		ML-Lasso-Dec2-richard_notebook_2.ipynb
ML-Logistic Regression Project.ipynb		ML-Logistic Regression Project.ipynb
ML-Logistic_Regression-Dec01.ipynb		ML-Logistic_Regression-Dec01.ipynb
ML-NLP-Rishar_Dec20.ipynb		ML-NLP-Rishar_Dec20.ipynb
ML-NLP_on_DF-Rishar-Dec20.ipynb		ML-NLP_on_DF-Rishar-Dec20.ipynb
ML-PCA-Martin_Dec13.ipynb		ML-PCA-Martin_Dec13.ipynb
ML-Project_Goodread_Books.ipynb		ML-Project_Goodread_Books.ipynb
ML-Recommendation-Systems-Content-Based-Filtering_Lab-Dec25.ipynb		ML-Recommendation-Systems-Content-Based-Filtering_Lab-Dec25.ipynb
ML-Regression-Concrete-Project.ipynb		ML-Regression-Concrete-Project.ipynb
ML-Regression-Recap-Rishar-Dec24.ipynb		ML-Regression-Recap-Rishar-Dec24.ipynb
ML-Regression-Used Cars data form cardekho.ipynb		ML-Regression-Used Cars data form cardekho.ipynb
ML-SVM_Lab-Martin-Dec11.ipynb		ML-SVM_Lab-Martin-Dec11.ipynb
ML-SVM_Project.ipynb		ML-SVM_Project.ipynb
ML-Telecom_Churn_Prediction-Kaggle.ipynb		ML-Telecom_Churn_Prediction-Kaggle.ipynb
ML-Tree-Types-Classification-Recap-Dec26.ipynb		ML-Tree-Types-Classification-Recap-Dec26.ipynb
ML-Tree_Types_Prediction-Project.ipynb		ML-Tree_Types_Prediction-Project.ipynb
ML_Lasso-Ridge-Polynomial_Nov_29.ipynb		ML_Lasso-Ridge-Polynomial_Nov_29.ipynb
ML_NLP-AirCrash-Project.ipynb		ML_NLP-AirCrash-Project.ipynb
ML_Nov-28_Linear-Regression-2.ipynb		ML_Nov-28_Linear-Regression-2.ipynb
ML_Nov-28_Linear-Regression-3_Rishar.ipynb		ML_Nov-28_Linear-Regression-3_Rishar.ipynb
ML_Nov-28_Linear-Regression.ipynb		ML_Nov-28_Linear-Regression.ipynb
Nov26_Linear_Regression.ipynb		Nov26_Linear_Regression.ipynb
README.md		README.md

gpirge/17.-Machine-Learning

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