Churn prediction using Random Forest and Decision Tree Classifiers.
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Updated
May 14, 2021 - Jupyter Notebook
Churn prediction using Random Forest and Decision Tree Classifiers.
Predicting Math Scores for Brazilian high School National Exams
CMU-Fall-2018-How-To-Write-Fast-Code-Project
Predição de ocorrência ou não de câncer de mama utilizando Árvore de Classificação.
My attempt at the kaggle titanic competition
The titanic survival prediction project uses machine learning to create a model that predicts which passengers survived the Titanic shipwreck.
Kaggle Tutorial with RandomForest
Consumption and emissions prediction from non-residential buildings in Seattle.
This is a classifier for the Titanic Kaggle competition. The goal of the competition is to predict whether a passenger survived the sinking of the Titanic based on various features such as age, sex, and passenger class.
A Python Machine Learning Project designed to predict Halloween Candy sales for a company based on historical data
IBM Project
EE4-62: Selected Topics In Computer Vision with my bro Zihan
Connecting the Sustainable Development Goals with climate change and the energy transition
This repository contains code that was used to predict employee attrition using machine learning methods.
This repository contains code for evaluating different machine learning models for classifying fake news. The dataset used for this evaluation consists of labeled news articles as either "REAL" or "FAKE". Three popular classifiers, Support Vector Machine (SVM), Decision Tree, and Logistic Regression, are trained and evaluated on this dataset.
Atividades do Curso Introdução a Machine Learning da Universidade Estadual do Ceará.
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