In the digital age, data has become the driving force behind innovation and growth, transforming industries in its wake. As ...

This project demonstrates how to implement simple linear regression from scratch using Python, without relying on libraries like Scikit-Learn. The implementation includes data preprocessing, model ...

we use CountVectorizer from Scikit-learn. We use the Multinomial Naïve Bayes model, a probabilistic algorithm ideal for text classification, to fit our training vectors to the values of the ...

The linear model is a modelling workhorse for data analyses commonly referred to in the social and behavioural sciences as regression analysis and is an essential building block towards more advanced ...

model performance monitoring, and automated report generation. The system is designed to work with SQL databases and utilizes Python libraries like Scikit-learn, Pandas, XGBoost, Jinja2, and ...