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decision-tree-classification

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milaan9 / Python_Decision_Tree_and_Random_Forest

Star 254

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

graphviz random-forest decision-tree decision-tree-classifier python4beginner decision-tree-algorithm id3-algorithm python-decisiontreeclassifier iris-classification cart-algorithm decision-tree-classification decision-tree-id3 python-tutorial-notebook python4everybody python-tutorial-github python4datascience python-decision-tree decision-tree-playgolf tutor-milaan9 dtreeviz
  • Updated Dec 9, 2022
  • Jupyter Notebook

Joycechidi / MachineLearning

Star 5

All my Machine Learning Projects from A to Z in (Python & R)

python r naive-bayes regression classification logistic-regression polynomial-regression decision-tree-regression kernel-svm simple-linear-regression random-forest-regression multiple-linear-regression datapreprocessing support-vector-regression--svr evaluating-regression-models-perf regularization-methods k-nearest-neighbors-k-nn support-vector-machine-svm decision-tree-classification random-forest-classification
  • Updated Aug 15, 2019
  • Jupyter Notebook

nitingour1203 / credit-card-default-prediction

Star 2

If you miss payments or you don't pay the right amount, your creditor may send you a default notice, also known as a notice of default. If the default is applied it'll be recorded in your credit file and can affect your credit rating. An account defaults when you break the terms of the credit agreement.

support-vector-machine stochastic-gradient-descent decision-tree-classification random-forest-classification gaussian-naive-bayes k-nearest-neighbour grid-search-on-logistic-regression-model
  • Updated Mar 30, 2023
  • Jupyter Notebook

dshah98 / Machine_Learning_with_R

Star 2

Full machine learning practical with R.

natural-language-processing linear-regression artificial-neural-networks logistic-regression support-vector-machine polynomial-regression convolutional-neural-network naive-bayes-classification apriori-algorithm hierarchical-clustering knn-classification support-vector-regression decision-tree-regression k-means-clustering kernel-svm random-forest-regression multiple-linear-regression decision-tree-classification random-forest-classification eclat-algorithm
  • Updated May 23, 2021
  • R

dshah98 / Machine_Learning_with_Python

Star 2

Full machine learning practical with Python.

natural-language-processing linear-regression artificial-neural-networks logistic-regression support-vector-machine polynomial-regression convolutional-neural-network naive-bayes-classification apriori-algorithm hierarchical-clustering knn-classification support-vector-regression decision-tree-regression k-means-clustering kernel-svm random-forest-regression multiple-linear-regression decision-tree-classification random-forest-classification eclat-algorithm
  • Updated May 14, 2021
  • Jupyter Notebook

Ansu-John / ML-Classification

Star 1

Build and evaluate classification model using PySpark 3.0.1 library.

spark naive-bayes-classifier classification logistic-regression factorization-machines decision-tree-classifier multilayer-perceptron one-vs-rest pyspark-mllib linear-support-vector-machine decision-tree-classification random-forest-classification classification-algorithms regression-methods gbt-classification binaryclassificationevaluator multiclassclassificationevaluator
  • Updated Nov 24, 2020
  • Jupyter Notebook

girirajv10 / Decision-Tree-Classification

Star 1

Decision Tree is a decision-making tool that uses a flowchart-like tree structure or is a model of decisions and all of their possible results, including outcomes, input costs and utility. Decision-tree algorithm falls under the category of supervised learning algorithms. It works for both continuous as well as categorical output variables. Deci…

ml classification decision-trees decision-tree decision-tree-classifier decision-tree-classification ml-algorithm
  • Updated Feb 24, 2023
  • Jupyter Notebook

HanifaElahi / Machine-Learning

Star 0

MACHINE LEARNING ALGORITHMS

machine-learning linear-regression facial-recognition logistic-regression support-vector-machine polynomial-regression naive-bayes-classification hierarchical-clustering dbscan-clustering support-vector-regression decision-tree-regression k-means-clustering k-nearest-neighbors random-forest-regression multiple-linear-regression decision-tree-classification random-forest-classification hierarchial-clustering
  • Updated Oct 1, 2021
  • Jupyter Notebook

bhavya840 / ML-Classification

Star 0

In this project the data is been used from UCI Machinery Repository. Main aim of this project is to predict telling tumor of each patient is Benign (class – 2) or Malignant (class – 4) the models used are – Decision tree Classification, Logistic Regression, K-Nearest Neighbors, SVM, Kernel SVM, Naïve-Bayes and Random Forest Classification.

svm machine-learning-algorithms naive-bayes-classifier logistic-regression kernel-svm knearest-neighbors decision-tree-classification random-forest-classification
  • Updated Jul 15, 2020
  • Jupyter Notebook

lezippo / PredictStudentsDropoutAndAcademicSuccess

Star 0

Prediction of students' dropout using classification models. Data visualisation, feature selection, dimensionality reduction, model selection and interpretation, parameters tuning.

exploratory-data-analysis cross-validation data-visualization feature-selection pca classification dimensionality-reduction grid-search tuning-parameters tsne model-evaluation knn-classification model-interpretation feature-importance exploratory-data-visualizations decision-tree-classification random-forest-classification xgboost-classification
  • Updated May 10, 2024
  • Jupyter Notebook

amit-raj-repo / ML-Decision-Tree-Python

Star 0

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.

decision-trees decision-tree-classifier decision-tree-algorithm decision-tree-classification
  • Updated Jun 15, 2020
  • Jupyter Notebook

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