Machine Learning EDA This code performs exploratory data analysis (EDA) on a dataset using machine learning techniques. The EDA is done in a basic and straightforward way, aimed at providing insights into the dataset and identifying potential issues that may affect the performance of a machine learning model.

Installation To use this code, you'll need to have Python 3.x installed on your system. You can clone the repository using the following command:

git clone https://github.com/ironborn007/Gitpro.git Once you've cloned the repository, you can install the necessary Python packages by running:

pip install -r requirements.txt Usage To use this code, you'll need to have a dataset in CSV format that you want to analyze. You can run the code by executing the main.py file:

python main.py --filename dataset.csv This will generate a number of plots and statistics that summarize the dataset. You can adjust the output by modifying the parameters in the config.ini file.

License Free and Open Source