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PyBrain Library Functions in Python

PyBrain is stands for Python-Based Reinforcement Learning, Artificial Intelligence, and Neural Network Library is knows as PyBrain. Pybrain is an open source and machine learning library. It is flexible, easy-to-use yet still powerful algorithms for Machine Learning. Some easy to use training algorithms for networks, datasets, trainers to train and test the network.

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Plotly Library Functions in Python

Plotly is a library use for data visualization. Users can visualize and analyse the data online. This library is use for developing interactive graphs and charts. It is Free and open source plotting library that allows nearly about 40 unique chart and plot types, covering a huge range of algebraic, economical, geographical 3 -Dimensional and scientific user cases. Plotly library of python is develops on the top of Plotly JS

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Bokeh Library Functions in Python

Bokeh is an interactive visualization library in python. The best feature which bokeh provides is highly interactive graphs and plots. Dislike Matplotlib and Seaborn, they are also Python packages for data visualization is knows as Bokeh. The Bokeh primarily focus on convert the data source into JSON file which is use as input for BokehJS.

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Scikit-Learn Library Functions in Python

Scikit-learn in Python is by far one of the most useful open-source libraries. Scikit learn in Python was develop by David Cournapeau in 2007 as a Google summer of code project. It is the most useful and robust library for machine learning in Python. This library is primarily write in Python and built upon SciPy, NumPy, and Matplotlib. Canopy and Anaconda they both ship the latest version of scikit-learn.