A powerful tree-based uplift modeling system.
-
Updated
Jan 23, 2024 - C++
#
descision-tree
Here are 59 public repositories matching this topic...
Web editor for typed tree structures. (like decision / behaviour trees)
-
Updated
Jul 19, 2023 - TypeScript
Breast cancer detection using 4 different models i.e. Logistic Regression, KNN, SVM, and Decision Tree Machine Learning models and optimizing them for even a better accuracy.
learning cancer optimization svm machine accuracy logistic-regression breast-cancer-prediction prediction-model optimisation-algorithms breast breast-cancer cancer-detection descision-tree
-
Updated
Sep 28, 2021 - Jupyter Notebook
Insurance claim fraud detection using machine learning algorithms.
machine-learning neural-network random-forest naive-bayes-classifier xgboost linear-discriminant-analysis knn-classification mlp-classifier knn-classifier insurance-claims descision-tree balanced-random-forest
-
Updated
May 6, 2020 - Jupyter Notebook
Smart disease prediction system made using traditional machine learning algorithms and to create an user interface using streamlit. 🚀
-
Updated
Mar 19, 2021 - Python
Evaluation and Implementation of various Machine Learning models for creating a "Banking/Financial Transaction Fraud Prevention System"
random-forest exploratory-data-analysis naive-bayes-classifier feature-engineering support-vector-machines smote knn-algorithm descision-tree light-gradient-boosting-machine select-k-best integrated-stacked-model
-
Updated
Jul 5, 2021 - Jupyter Notebook
This study demonstrates how numerous factors have an impact on bike rentals. Due to our understanding that many Koreans hire bikes throughout the week, we assumed that most of their use is for commuting to work or school. The number of rentals varies depending on a number of factors, including the day of the week, the hour of the day.
machine-learning random-forest linear-regression regression-models hyperparameter-tuning descision-tree
-
Updated
Nov 22, 2022 - Jupyter Notebook
In this data science project, we will predict borrowers chance of defaulting on loans by building a default prediction model.
visualization data-science data random-forest visualisation datascience artificial-neural-networks logistic-regression preprocessing trees support-vector-machines credit-scoring loan-default-prediction dataanalysis dataanalytics datapreprocessing loan-prediction-analysis creditscore creditscoring descision-tree
-
Updated
Mar 7, 2021 - Jupyter Notebook
A web application to predicted whether a URL/Website is phishing or not by extracting its lexical features.
python flask machine-learning random-forest scikit-learn pandas xgboost classification svm-classifier phishing-detection descision-tree stacking-classifier
-
Updated
Oct 6, 2022 - Jupyter Notebook
In this regression project, We will make use of different features like age, BMI, region, sex, smoker, etc to predict the medical insurance cost for an individual.
github python git machine-learning random-forest numpy linear-regression regression pandas seaborn supervised-learning matplotlib descision-tree xgbregressor kneighborsregressor
-
Updated
Nov 1, 2021 - Jupyter Notebook
Unity package for generating 'treescheme' files based on dotnet assemblies.
-
Updated
Nov 13, 2022 - C#
machine-learning algorithms using Python.
machine-learning sklearn jupyter-notebook regression supervised-learning support-vector-machines descision-tree
-
Updated
Jun 26, 2019 - Jupyter Notebook
Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.
python random-forest scikit-learn data-preprocessing iris-dataset automated-machine-learning classsification descision-tree machine-learning-pipeline dimentionality-reduction end-to-end-ml-workflows
-
Updated
Feb 14, 2024 - Python
A classification model using "Fake news classification" dataset by Bhavik Jikadara for classifying fake news. Contributors: Elaha Ahmadi, Herman Scheele & Theodor Jaarvik
-
Updated
Dec 15, 2024 - Python
A repository containing an advanced Excel project leveraging the "Heritage Dairy Company" dataset, showcasing visualizations and insights derived from the data for global distribution analysis and forecasting.
-
Updated
Jul 18, 2023
Credit card fraud detection model that is built using Machine Language and R programming
data-science machine-learning machine-learning-algorithms curve-fitting artificial-neural-networks logistic-regression roc rprogramming gradient-boosting dataexploration rproject datamanipulation descision-tree datamodeling
-
Updated
Oct 9, 2024
This repository contains all resources for Homework 1 of TDT4173 fall 2021.
-
Updated
Feb 25, 2023 - Jupyter Notebook
In this notebook, I'm using this dataset called 'flight-price-prediction', which contains the traveller information.In this notebook, I'm trying to run a dummy variable regression model at first, and after that, I'm trying to build a supervised ML Model with higher accuracy of predation.
random-forest linear-regression eda data-visualization predictive-modeling regression-models knn-regression descision-tree one-hot-encoding
-
Updated
Dec 6, 2023 - Jupyter Notebook
Prediction of customer will purchase iPhone or not using KNN classifier model and multiple supervised ML model.
python3 seaborn logistic-regression feature-engineering scikitlearn-machine-learning knn-classification numpy-library random-forest-classifier pandas-library multiple-linear-regression joblib matplotlib-pyplot descision-tree standardscaler preprocessing-data
-
Updated
Nov 30, 2023 - Jupyter Notebook
Improve this page
Add a description, image, and links to the descision-tree topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the descision-tree topic, visit your repo's landing page and select "manage topics."