decesion-trees
There are 17 repositories under decesion-trees topic.
SimonWang00/recommender
基于RFM和决策树模型构建专家推荐系统。融合了RFM模型和决策树模型,结合专业运营人员的业务经营,发掘潜在用户,进行推荐营销召回。
wildoctopus/heart-disease-detection
Heart disease detection using different classifiers and neural network with feature engineering.
Yarlagadda-saimanoj/Diabetes-Prediction-ML
A Diabetes prediction Machine learning model using diagnostic data and algorithms such as logistic regression and decision trees. Evaluate their performance and deploy the top-performing model for accurate diabetes prediction.
Blacksharkfin/Fake-news-detector
This model is for detection of fake news using four different classifiers.
NemesLaszlo/Loan-Data-Decision-Tree-and-Random-Forest
This repository covers a "Lending Club" analysis with decision tree and random forest with data visualizations and exploration.
sayedcseku/data-mining
I tried to implemented two Data Mining theories in Object Detection Problem. One of them is Object Recognition with descriptive statistical feature, and the other one is with Decision Tree.
AHBRIJESH/Decesion_Tree_based_Diabetic_Predictor
Diabetes Prediction Project: Decision Tree Classifier implementation using Pima dataset. Explore data, visualizations, and contribute to enhance accuracy and interpretability. Contributions welcome!
al-lan-12/Loan_Approval_Predictor
Data Science project for loan approval prediction
angelxd84130/Activity-Analyzer-with-Wearable
ML application on wearable devices to predict a person's activities.
exploredubey/tf_computer_vision
Exploring MNIST Dataset using Tensorflow and Keras
shihabmuhtasim/Machinearning-Model-Weather-Prediction-Rain-Snow-
This project aims to address the challenge of predicting whether it will rain or snow in Hungary based on various meteorological variables.
ShreyaKulkarnii/Machine-Learning-Project
The project focuses on identifying the speaker accent to be US or not US using binary classification. This project uses various Machine Learning classification methods like Logistic Regression, KNN, Binary Tree and Random Forests. Using the listed methods, evaluated the performance on the baseline models. To increase the accuracy and to prevent the dataset to be over-fitted or under-fitted various feature extraction and regularization techniques like Lasso and Ridge are used in this project. To increase the testing accuracy, fine-tuned the hyperparameters for the classification models.
douaa-l/Trees
In this repository, use of diffrent types of trees models
Taufiq-ML/ML-projects
Predictive models for breast cancer classification using machine learning algorithms. Explore various classification techniques to identify malignant and benign tumors from medical imaging data.