Explore live open-source projects and AI models.

Generation and evaluation of a decision tree using reinforcement learning.

Making high-accuracy and visually-interpretable decision tree-based models for semantic segmentation http://segnbdt.aaalv.in

* See all my Machine Leaning projects ! : Adaboost ensemble, Latent Dirichlet Allocation, Decision tree, Kmean, Logistic Regression, Latent Dirichlet Allocation , TF-IDF, Clustering, Image classification, Sentiment analysis, Recommendation, Gaussian Mixture Model, Nearest neighbors.

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A C++ project which efficiently solves any given N-puzzle using backtracking on a decision tree.

This salary prediction model leverages machine learning techniques, including Random Forest, Decision Tree, and Linear Regression, to estimate salaries based on individual attributes such as age, gender, education level, job title, and years of experience. The Random Forest model outperforms the ... Read more

A python based machine learning model,which uses algorithms like the Naive Bayes algorithm and Decision tree classifier algorithm,to predict whether a posted job is fake or real.

Build SPAs to let users answer questions from a decision tree

Confused EEG Classification using Random Forest, Support Vector Machine, Decision Tree, XGBoost, and CatBoost

Lumos, a decision-tree-based throughput predictor for adaptive streaming - IEEE INFOCOM 2022 & IEEE TMC 2023