decision-tree-algorithm

There are 81 repositories under decision-tree-algorithm topic.

  • DecisionTreeExample

    Language:Python1
  • Telco_customer_churn_prediction

    Language:Jupyter Notebook
  • Python-ML-Churn

    Language:Jupyter Notebook
  • Machine-Learning-Projects

    Various Machine learning algorithms

    Language:Jupyter Notebook1
  • image_classification

    The goal of this project is to build a web application that will be trained on a set of labeled flower images to make predictions on the given input.

    Language:JavaScript1
  • ML-Algorithms-from-Scratch

    Implement machine learning algorithms like decision tree, k-nearest neighbor, etc right from scratch (using NumPy)

    Language:Jupyter Notebook1
  • machine-learning-algorithm-comparison

    A C++ implementation and performance comparison of two machine learning algorithms, deep learning and decision tree learning

    Language:C++1
  • titanic-dataset

    This dataset has passenger information who boarded the Titanic along with other information like survival status, Class, Fare, and other variables. The unfortunate event which was occurred on 15 April 1912, the Titanic sank after colliding with an iceberg, aboard 2224 peoples. Titanic passenger Data Analysis consist: Data Exploration and Preparation, Data Representation and Transformation, Data Visualization and Presentation

    Language:Jupyter Notebook1
  • finding-donors-for-charity

    Apply supervised machine learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause

    Language:Jupyter Notebook1
  • py-machine-learning-labs

    My own quick and basic implementations for Machine Learning Decision Tree classifier algorithm!

    Language:Python1
  • decision-tree-from-scratch

    A decision tree implementation from scratch using Python, NumPy and pandas for four cases of real/discrete features/output.

    Language:Python
  • ID3

    ID3 algorithm implementation in C

    Language:C
  • decision-tree-optimizer

    Import a csv that follows the format provided by the 2 test sets and you will get an optimized question flow to return a Yes/No answer. This is an implementation of the ID3 Algorithm.

    Language:Java
  • Apply-Supervised-Learning-Algorithms-Using-Python

    Apply Supervised Learning Algorithms using Python to predict breast cancer, diabetes, etc.. diseases.

    Language:Python
  • DECISION_TREE_ALGORITHM

    THIS MY TASK 6 OF DATA SCIENCE AND BUSINESS ANALYTICS INTERNSHIP.PREDICTION USING DECISION TREE ALGORITHM.AIM OF THIS TASK IS ,FOR THE GIVEN 'IRIS DATASET',CREATE THE DECISION TREE CLASSIFIER AND VISUALIZE IT GRAPHICALLY

    Language:Jupyter Notebook
  • Decision-Tree-Manual-and-SKlearn-Implementations

    Implementation of Decision Tree classification algorithm in Python using Pandas, NumPy and Scikit-Learn.

    Language:Jupyter Notebook
  • Iris_Flower_Dataset

    Iris flower dataset classification using Decision tree and KNN Algorithms.

    Language:Jupyter Notebook
  • decision-tree-algorithms

    Implementation of some decision tree algorithms in Python.

    Language:Python
  • DTsolver

    Solver for Decision Trees

    Language:Jupyter Notebook
  • praxis2020

    Comparison between different machine learning techniques by attempting to predict suicidal thoughts among youth in the US.

  • Random-Forest-using-Decision-Tree

    Random Forest Algorithm written in Python using NumPy and Pandas. Based on the Decision Tree Algorithm.

    Language:Python
  • SPSS

    SPSS to build decision tree, KNN and classification models

  • DecisionTrees-Gini-Entropy-TitanicSurvivalPrediction

    This repository contains code to build various versions of Decision Tree Models (Gini, Entropy) for the Titanic Passenger Survival prediction from Kaggle Competitions. Pruning is also performed to reduce the Overfitting

    Language:Jupyter Notebook
  • ML-Decision-Tree-Python

    Implementation of Decision Tree algorithm in python, this is a basic implementation and will be helpful for beginners to start, understand and implement Decision Trees. This repository will help in understanding decision trees using Python. This also includes plotting ROC curve, confusion metrics etc.

    Language:Jupyter Notebook
  • Machine-Leaning-Algorithms

    Machinelearning_algorithms_scratch

    Language:Python
  • Simple-Decision-Tree-Algorithm-Python

    A simple python script that implements Decision Tree Algorithm and classify on a very small test data set. University Assignment

    Language:Jupyter Notebook
  • Banknote-Fraud-Detection

    Fraudulent banknote detection with decision trees built from scratch.

    Language:Jupyter Notebook
  • Classification-Decision-Tree-Algorithm

    Decision tree algorithm falls under the category of supervised learning. They can be used to solve both regression and classification problems

  • ML-DecisionTreeClassifier

    Implementation of decision tree classifier from scratch.

    Language:Jupyter Notebook
  • ml-from-scratch

    Implementation of various machine learning algorithms from scratch.

    Language:Python
  • ModelMaker

    Train a "model function" with the "decision tree algorithm" to farther use in test in online app like browser extensions

    Language:JavaScript
  • decision_trees

    Decision Trees (ID3)

    Language:Python
  • classifier

    supervised machine learning classifier model

    Language:Jupyter Notebook
  • regression

    supervised machine learning

    Language:Python
  • Amazon--AlexaDecisonTree

    Amazon customer reviews, star ratings, date of review, variant and feedback of various amazon Alexa products like Alexa Echo, Echo dots

    Language:Jupyter Notebook