Resources

Logistic Regression:

1. https://www.geeksforgeeks.org/understanding-logistic-regression/
2. https://github.com/SSaishruthi/LogisticRegression_Vectorized_Implementation/blob/master/Logistic_Regression.ipynb
3. https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
4. https://towardsdatascience.com/logistic-regression-detailed-overview-46c4da4303bc
5. https://en.wikipedia.org/wiki/Logistic_regression
6. https://www.analyticsvidhya.com/blog/2021/08/conceptual-understanding-of-logistic-regression-for-data-science-beginners/
7. https://www.geeksforgeeks.org/ml-label-encoding-of-datasets-in-python/

CSV:

1. https://www.analyticsvidhya.com/blog/2021/05/dealing-with-missing-values-in-python-a-complete-guide/#h-3-filling-the-missing-values-imputation
2. https://www.statology.org/pandas-create-dataframe-from-existing-dataframe/