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Scikit-learn

Scikit-learn

Scikit-learn is a machine learning library for Python that provides a wide range of algorithms for classification, regression, clustering, and other tasks. It is designed to be easy to use and provides a simple and consistent API for building and training machine learning models. What is Scikit-learn? Scikit-learn is a

Keras

Keras

Keras is a high-level neural networks API that is designed to be easy to use and provides a simple and consistent API for building and training deep learning models. Keras is widely used in industry and academia for a wide range of applications, from computer vision to natural language processing.

PyTorch

PyTorch

PyTorch is an open-source machine learning library that is based on Python. It is designed to be flexible and dynamic, making it easier to implement and train machine learning models. PyTorch is widely used in industry and academia for a wide range of applications, from computer vision to natural language

TensorFlow

TensorFlow

TensorFlow is an open-source software library for machine learning and deep learning. It is designed to make it easier to implement and train machine learning models, particularly neural networks. TensorFlow provides a flexible and scalable way to build and train models, and is widely used in industry and academia. What

Neural Networks

Neural Networks

Neural Networks are a type of machine learning algorithm that uses a network of interconnected nodes or "neurons" to process and analyze data. They are a popular algorithm for classification, regression, and clustering tasks, and are known for their ability to handle complex and non-linear relationships. What is

Support Vector Machines (SVMs)

Support Vector Machines (SVMs)

Support Vector Machines (SVMs) are a type of machine learning algorithm that uses a kernel-based approach to classify data or make predictions. They are a popular algorithm for classification and regression tasks, and are known for their ability to handle high-dimensional data and non-linear relationships. What is a Support Vector

Random Forest

Random Forest

Random Forest is an ensemble learning algorithm that combines multiple Decision Trees to improve the accuracy and robustness of the model. It is a popular algorithm for classification and regression tasks, and is known for its ability to handle large datasets and improve the accuracy of the model. What is