decision-tree-classifier

Python notebook describing the entire process of developing a prediction model including: Exploratory Data Analysis, Data Preprocessing, and Model Development

machine-learning random-forest exploratory-data-analysis naive-bayes-classifier logistic-regression data-preprocessing knn decision-tree-classifier class-balancing

Updated Jul 12, 2022
Jupyter Notebook

iLykTurtlz / MLAlgorithms3

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A library of implementations in the 'iads' directory, plus Jupyter notebooks for testing

cross-validation perceptron knn decision-tree-classifier hierarchical-clustering k-means-clustering

Updated May 22, 2023
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shahpranshu27 / HandsOn_ML

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This is GEM repo, as it has all the Hands-On ML notebooks

python machine-learning random-forest linear-regression jupyter-notebook xgboost logistic-regression beginner decision-trees beginner-friendly jupyter-notebooks decision-tree-classifier knearest-neighbor-classifier random-forest-classifier kfold-cross-validation knn-classifier random-forest-regression xgboost-regression

Updated Sep 22, 2024
Jupyter Notebook

ADVAIT135 / Simplilearn

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This repo consists of code, Jupyter Notebooks from various Learning Tracks hosted on Simplilearn

python machine-learning time numpy pandas python3 seaborn kaggle neural-networks scipy jupyter-notebooks decision-tree-classifier random-forest-classifier matplotlib-pyplot simplilearn

Updated May 3, 2024
Jupyter Notebook

scioffi96 / Deteccion-hospitalizaciones-machine-learning

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Mediante este notebook se realiza un análisis predictivo de hospitalizaciones utilizando algoritmos de clasificación.

python data-science machine-learning numpy scikit-learn pandas data-viz decision-tree-classifier k-nearest-neighbours visualstudiocode

Updated May 6, 2023
Jupyter Notebook

fedeandresg / deteccion-hospitalizaciones-machine-learning

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Mediante este notebook se realiza un Análisis Predictivo de hospitalizaciones utilizando algoritmos de clasificación

python machine-learning dataviz numpy scikit-learn exploratory-data-analysis pandas datascience decision-tree-classifier datavisualization visualstudiocode k-nearest-neighbors

Updated May 6, 2023
Jupyter Notebook

satyamroy15 / Decision_Tree_Classifier-Decision_Tree_Algorithm

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For the given ‘Iris’ dataset, create the Decision Tree classifier and visualize it graphically. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.

data-science machine-learning notebook machine-learning-algorithms python3 decision-trees decision-tree-classifier python-notebook

Updated Oct 7, 2020
Jupyter Notebook

kalthommusa / Udacity-Intro-to-ML-with-TensorFlow

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This repository contains my collections of labs' notebooks from Udacity's Intro to ML with TensorFlow.

random-forest tensorflow linear-regression machine-learning-algorithms cross-validation artificial-intelligence supervised-learning accuracy recall logistic-regression adaboost support-vector-machines naive-bayes-algorithm precision decision-tree-classifier bagging perceptron-algorithm

Updated Feb 27, 2022
Jupyter Notebook

Ahmad-Ali-Rafique / Adult-Income-Dataset

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This repository contains a Jupyter Notebook exploring the adult income dataset. The notebook performs Exploratory Data Analysis (EDA), including visualizations with charts and graphs. Additionally, it implements various classification models to predict income and analyzes their accuracy.