Practiced K-Nearest Neighbor (KNN) for prediction with the help of python libraries like pandas,sklearn,matplotlib,seaborn etc. Got an accuracy of 91.39% during training and testing. created a ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Data import and preprocessing are implemented using numpy and pandas in python 3.11.4. Machine learning algorithms were all implemented using sklearn, and the matplotlib ... Results indicated that, ...

and will familiarize you with Python’s data analysis libraries including Pandas, NumPy, SciPy, and scikit-learn. The self-paced course is divided into five modules with the sixth being the final ...

When you create an algorithm, you need to include precise, step-by-step instructions. This means you will need to break down the task or problem into smaller steps. We call this process decomposition.

Researchers have developed a new AI algorithm, called Torque Clustering, that is much closer to natural intelligence than current methods. It significantly improves how AI systems learn and uncover ...

Clustering algorithms are at the basis of several technological applications, and are fueling the development of rapidly evolving fields such as machine learning. In the recent past, however, it has ...