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.
Intrustion Detection Models based on Internet Traffic Data obtained from the NSL-KDD Dataset
Kaggle Tutorial with RandomForest
Consumption and emissions prediction from non-residential buildings in Seattle.
Analyzing IBM HR Analytics Employee Attrition & Performance using Decision Tree and Keras Deep Learning
Retrieving Insights - Hypothesis Tests - Logistic Regression - Churn - Model - Python - DecisionTreeRegression
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.
This is a repository for balancing a Binary Search Tree using a brute force recursive algorithm.
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
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