To start, clone this branch of the repo into your local:

git clone -b main --single-branch [https://github.com/Samashi47/ML-Toolkit-Project]

After cloning the project, activate the env:

.venv\Scripts\activate

You can run the following command to install the dependencies:

pip3 install -r requirements.txt

Then run the main file with the following:

python main.py

Important

The workflow will be as follows:

After starting the app:

1. Upload data (.csv/.xls/.xlsx/.xml/.json/.data)
2. Process and save changes to DataFrame.
3. Visualize your data.
4. Choose splitting ratio and random state.
5. Choose your target column and split your dataset into training & testing data.
6. Choose a ML algorithm.
7. Train & test your model and evaluate the results.