omolevictor97 / email_class

To use download the file use the command git clone https://github.com/omolevictor97/email_class.git

To create virual environment: python: python -m venv name of the environment (env) To activate the environment: name(env)/Scripts/activate

For Conda environment: conda create -n env python==3.7 -y For conda environment activation: activate env or conda activate env

The next: The dependencies are found in the file requirements.txt pip install -r requirements.txt

Read the dataset using pd.read_csv("data/spamhamdata.csv")

In Train dataset, we use TfIdfvectorizer.fit_transform, but in test, we use transform to avoid overfitting, Overfitting is the ability of a model to be able to generalize well on train dataset and not well on test dataset Underfittting, the model does not generalize well on the train dataset

y = wixi + b

Inside app.py, we have streamlit app, to run this app for user consumption, we should rubn the following command. streamlit run app.py