It also has various other useful libraries for data analysis, scientific computing, and machine learning. Jupyter Notebook with Anaconda is a powerful tool for any data scientist or engineer working ...

Keras is another popular library for machine learning and AI. It is a high-level neural networks API that is written in Python. Keras offers a wide range of tools and resources that make it easy ...

Many Python modules offer methods and tools ... Yellowbrick is a potent visualization package that provides a set of tools for interpreting machine learning models. It offers visualizations ...

By Kaunda ISMAILThis article discusses key tools needed to master, in order to penetrate the data space. Such tools include ...

Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...

scikit-learn is a Python library that provides tools for machine learning tasks such as classification, regression, and clustering. scikit-learn also provides tools for sentiment analysis ...

SEE: How to become a Machine Learning Engineer cheat sheet ... to use open source data analysis and manipulation tool, built on top of the Python programming language.” Pandas was created ...