Python Libraries

Keras

Keras is an high-level neural networks API that runs on top of frameworks like TensorFlow and is designed for ease of use. It simplifies the process of building and training deep learning models, making it accessible to a wider audience.

Matplotlib

Matplotlib is a comprehensive 2D plotting library in Python. It enables you to create a wide range of static, animated, or interactive visualizations for data exploration and presentation.

NumPy

NumPy is a fundamental library for numerical computations in Python. It introduces powerful multi-dimensional arrays and mathematical functions, essential for performing operations on large datasets and scientific computing.

Pandas

Pandas is a popular Python library for data manipulation and analysis. It provides data structures like DataFrames and Series, making it easy to load, clean, transform, and analyze data efficiently.

Plotly

Plotly is a versatile Python library for interactive and dynamic data visualization. It supports a wide range of chart types and can produce interactive plots for web applications, dashboards, and presentations.

SciPy

SciPy is a library built on top of NumPy, offering additional scientific and technical computing capabilities. It provides modules for optimization, integration, interpolation, and various statistical functions.

Scikit-Learn

Scikit-learn is a machine learning library for Python that provides a wide range of tools for classification, regression, clustering, dimensionality reduction, and more. It's user-friendly and suitable for both beginners and experts in machine learning.

Seaborn

Seaborn is a data visualization library that works well with Pandas and provides a high-level interface for creating aesthetically pleasing statistical graphics. It's especially useful for quickly generating informative visualizations.

Tensorflow

TensorFlow is an open-source machine learning framework developed by Google. It allows you to build and train deep learning models, including neural networks, for various tasks like image recognition, natural language processing, and reinforcement learning.