This repository contains implementations of various data mining techniques, including machine learning models, association and clustering models, as well as neural networks and recurrent neural networks for time series analysis. The repository is organized into different folders to help you navigate through the code and data.
The folders contains the actual Python & R code implementing various data mining techniques.
Explore the different folders to access the datasets, and implementation code for the desired models.
Follow the instructions in the respective model's notes to understand the usage and run the scripts for training and testing the models on the provided datasets.
Please note that this repository serves as a resource for learning and experimentation with data mining techniques. You are encouraged to explore, modify, and enhance the code to suit your specific needs or apply the techniques to your own datasets.
This repository is open-source and distributed under the MIT License. Feel free to use, modify, and distribute the code for personal or commercial purposes, but please attribute the original authors by maintaining the license information.
To utilize this repository, follow these steps:
Clone the repository to your local machine using the following command:
git clone https://github.com/Balogunhabeeb14/DataMining-Tutorials.git
cd DataMining-Tutorials