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This repository contains a practical application of machine learning In Machine Learning Workshop at GDSC
Voting Ensemble & Stock Prediction - Project Submission for Data Mining & Machine Learning Module
Welcome to my second DS project also my first notebook on kaggle. In this notebook, I explore the Breast Cancer dataset and develop an RF model to try classifying suspected cells as Benign or Malignant. after using K-fold cross-validation with logistic regression, RF, SVM, and KNN to check the best model for my dataset.
This repository contains all the basic machine learning based classification algorithms which I have tried to predict Chronic Kidney Disease. It also includes the final report of the analysis!
Machine learning models that classify images of surfing locations based on the quality of the conditions.