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⚡️⚡️⚡️《机器学习实战》代码(基于Python3)🚀
Julia Decision Tree Algorithms for Regression
Example use of the npm "question-tree-core" package within a simple React app
Prediction of Customer Churn using Spark Mllib
基于决策树生成可视化规则。generate visualization rules based on decision trees.
:tv: Latent tuberculosis screening cost-effectiveness analysis
Project developed in the Data Structure Class module 2. Binary Search Tree & Decision game
Intrustion Detection Models based on Internet Traffic Data obtained from the NSL-KDD Dataset
Analyzing IBM HR Analytics Employee Attrition & Performance using Decision Tree and Keras Deep Learning
EMNIST English letters OCR machine learning model using Random Forests (RF) and Decision Trees (DT) algorrithms.
In this project, I've used decision trees to try to predict the continent of flags based on several of features such as colours and shapes
Machine Learning Project for course INF264
Decision Trees but for segmentation!!!!
This is a repository for balancing a Binary Search Tree using a brute force recursive algorithm.
Analysis of Covid-19 date using machine learning models - Decision Tree, Logistic Regression, Neural Networks, Predictive Mining, Association mining, Clustering.
Retrieving Insights - Hypothesis Tests - Logistic Regression - Churn - Model - Python - DecisionTreeRegression
These are the tasks provided by The Sparks Foundation for the #GRIPNOV20 for Data Analysis internship.
Decision tree from scratch
This repository contains code that was used to predict employee attrition using machine learning methods.
IBM Project
Atividades do Curso Introdução a Machine Learning da Universidade Estadual do Ceará.
Connecting the Sustainable Development Goals with climate change and the energy transition
The titanic survival prediction project uses machine learning to create a model that predicts which passengers survived the Titanic shipwreck.
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.
A Python Machine Learning Project designed to predict Halloween Candy sales for a company based on historical data
Consumption and emissions prediction from non-residential buildings in Seattle.
ML is all about making machines learn the things humans do!
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.
Churn prediction using Random Forest and Decision Tree Classifiers.
This is an example of a binary search tree used as a decision tree
My attempt at the kaggle titanic competition
Kaggle Tutorial with RandomForest