How to start Python for Data science | High level overview
We can achieve this using Modules.Modules are a group of tools packaged so that it will be easily available for the user. Example for modules are Matplot lib: This module is for bar chart and histogram Pandas : Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables scikit learn : Scikit - learn is a free machine learning library for Python. It features various algorithms like support vector machine, random forests, and k-neighbours, and it also supports Python numerical and scientific libraries like NumPy and SciPy scipy : SciPy is a library that uses NumPy for more mathematical functions. SciPy uses NumPy arrays as the basic data structure, and comes with modules for various commonly used tasks in scientific programming, including linear algebra, integration...