This model predicts whether the survivors of the Titanic survived or not. In this file, different classification models are compared and predictions are done from the model(s) having highest accuracy. Here, 'training_data.csv' is used for training and testing the models and 'testing data.csv' is used for predictions. These data sets are from Kaggle

Decision Tree Classifier and Tree Algorithms

Perfoming furniture Classification with Machine Learning Image Classifications Tools

Performed different types of machine learning algorithms like linear regression, logistic regression, Decision Tree, Random forest.

Performed text classification using KNN, SVC and Decision-Tree algorithms to predict the author.

Statistical Learning with Applications in R

data mining course

Classification Algos were used for evaluating models for predictions.

Previsão de furacões

Artificial Inteligence projects

Data mining algorithms

hypo-MDS+AA four models of disease diagnosis（model：svm，bayes，cnn，Decision Tree）

This is our second project at neuefische DS Bootcamp. Silas Mederer and me implied different ML models and documented the EDA and our business understanding of the Lending Club.

Used Linear Regression, Decision Tree, Random Forest and XGBoost, AdaBoost, LightGBM and CatBoost ML Algorithm to Predict Bangalore housing price.

This repository contains a comprehensive guide and implementation of ensemble modeling techniques, specifically focusing on Boosting, Bagging, and Voting. Ensemble methods are powerful techniques in machine learning that combine the predictions from multiple models to improve overall performance and robustness.

Use Desicion Tree solution to teach and use model for sound data analysis

Predicts which passengers are transported to an alternate dimension.