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Best python programming libraries for Machine learning

Python is a programming language that is widely used to develop machine learning projects. and it is the most popular amongst machine learning developers because of its libraries.

Python Programming Libraries for machine learning

A python is a number of collections of libraries that are used in machine learning. and these libraries are used to perform the various and specific tasks in a process to develop a machine learning model. 

so today am going to share with you the list of python programming libraries that are used in machine learning. 

Python libraries for machine learning

  1. Numpy
  2. Pandas
  3. Matplotlib
  4. Scikit-learn
  5. Seaborn

What is Numpy?

Numpy is known as Numerical python. it's a standard library of python. it provides arrays and metrics in python that is used to store the large data sets and values. and it also provides advance mathematical and other operations to perform on large data sets. in data science and machine learning, it is used to store the collected data.

Learn more about Numpy

What are pandas?

pandas is a python library that is used to preprocess and prepare the data sets to use and perform the manipulation, aggregation, and visualization of data. it is a perfect tool for wrangling the data. and it's written in c and python programming language. it provides things like data series and data frames to manipulating the stored data.

Learn more about pandas

What is Matplotlib?

Matplotlib is a library that is used to find the relation between pre-labeled data using visual graphics. it has numerous functions that can be used to plot the graphs and define the relationship between the variables defined in the data. it used to draw bar charts, line charts, scatter plots, histograms, pie charts, and others as well. these graphs and charts are very helpful to draw insights from data.

Learn more about Matplotlib

What is Scikit-Learn?

Scikit-learn library is built on Numpy and Matplotlib library. it is also known as sklearn. this library provides variously supervised and unsupervised algorithms. it has built-in tools for data preprocessing, data mining, and data analysis. it' used to evaluate the model using cross-validation. and it is open-source which means it's freely available.

Learn more about scikit-learn.

What is Seaborn?

seaborn is the library that is used to visualize the model. it is based on the matplotlib library. it provides better plotting of statistical graphics than matplotlib. because it provides more information related to data using statistical graphics.

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