Best Python libraries for Machine learning
machine-learning has developed a lot in the past decade and it’s growing now more so In this article on Machine Learning libraries, we will discuss a list of libraries and their uses to handle most of the Machine Learning tasks.
the machine learning libraries are composed of high-end algorithms which make our work a hell of a lot easier as they require a lot of mathematical calculations and operations.
Typically, an ML library is a compilation of functions and routines readily available for use. A robust set of libraries is an indispensable part of a developer’s arsenal to research and write complex programs while saving themselves from writing a lot of code.
1 . TensorFlow
TensorFlow is an open-source library developed by Google primarily for deep learning applications .TensorFlow is a popular computational framework for creating machine learning models.TensorFlow. supports a variety of different toolkits for constructing models at varying levels of abstraction.
used to create large scale neural networks
2. PyTorch
PyTorch is an open source machine learning library used primarily for applications such as computer vision and natural language processing.It is primarily developed by Facebook’s AI research group.
used for develop and train neural networks
3. pandas
Pandas are turning up to be the most popular Python library that is used
for data analysis with support for fast, flexible, and expressive data structures
used to operate on tabular data
4. NumPy
NumPy is a well-known general-purpose array-processing package. An extensive collection of high complexity mathematical functions make NumPy powerful to process large multi-dimensional arrays and matrices.
used to process large multi-dimensional arrays and matrices
5. scikit-learn
Scikit-learn has a wide range of supervised and unsupervised learning algorithms that works on a consistent interface in Python. The library can also be used for data mining and data analysis.
used to create models
6. Matplotlib
Matplotlib is a data visualization library that is used for 2D plotting to produce publication-quality image plots and figures in a variety of formats. The library helps to generate histograms, plots, error charts, scatter plots, bar charts with just a few lines of code.
used for graphical plotting
7. Theano
Theano is a Python library and optimizing compiler for manipulating and evaluating mathematical expressions, especially matrix-valued ones.In Theano, computations are expressed using a NumPy-esque syntax
used to perform data intensive computations
8. Keras
Keras is an open-source library used for neural networks and machine learning .Keras is a library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library.
used to develop deep learning models
