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

and applications of machine learning. We cover supervised learning topics such as classification (Naive Bayes, Logistic regression, Support Vector Machines, neural networks, decision trees, boosting) ...

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 ...

This is the official Heroku buildpack for Python apps. We recommend that you specify a Python version for your app rather than relying on the buildpack's default Python version. For example, to ...

This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years ...

The deep learning history is often tracked back to 1943 when Walter Pitts and Warren McCulloch computed a model which support the human brain. Right now, the world is seeing a global Artificial ...