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。

This project implements a real-time EEG (Electroencephalogram) signal processing and visualization system with epileptic seizure detection capabilities. The system combines machine learning for seizure detection with an interactive web interface for real-time signal monitoring and analysis.

Heart disease detection using different classifiers and neural network with feature engineering.

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.

This repository covers a "Lending Club" analysis with decision tree and random forest with data visualizations and exploration.

A machine learning-based web application for predicting gold prices using economic indicators and historical data.

ML application on wearable devices to predict a person's activities.

Machine learning project for predicting lung cancer likelihood using survey data. Includes full workflow: preprocessing, feature engineering, model training, evaluation, and deployment with scikit-learn and ADASYN.

No description provided.

使用多种机器学习模型预测航空公司乘客满意度(二分类问题)，并比较不同模型的效果

This model is for detection of fake news using four different classifiers.

To compare the performance of Large Language Models (LLMs) and Classical Machine Learning (CML) approaches in predicting COVID-19 mortality using a high-dimensional structured dataset.

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.

This repository contains a project for predicting house prices using multiple regression techniques and machine learning models, including boosting algorithms. The goal is to train several models on historical house price data and evaluate their performance using the R² score.

No description provided.

This project aims to address the challenge of predicting whether it will rain or snow in Hungary based on various meteorological variables.

The repository contains sample Decesion tree ML models made on real world datasets

CROPIFY: An Intelligent System is a Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, and crop management guidance through a user-friendly web app.

Predictive models for breast cancer classification using machine learning algorithms. Explore various classification techniques to identify malignant and benign tumors from medical imaging data.

Diabetes Prediction Project: Decision Tree Classifier implementation using Pima dataset. Explore data, visualizations, and contribute to enhance accuracy and interpretability. Contributions welcome!

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.

Data Science project for loan approval prediction

this project involves analyzing customer churn data to identify patterns and prevent customer churn by understanding the behaviors and characteristics that lead to it.

In this repository, use of diffrent types of trees models

No description provided.

Exploring MNIST Dataset using Tensorflow and Keras