Scientific Python: A-Z Data Science & Visualization 18 Hours

Scientific Python Masterclass Complete with REGEX, NumPy, Scipy, Matplotlib, Scikit-learn, Seaborn and Pandas + Notebook

Python - Bootcamp

SciPy - Scientific Python Software Stack

NumPy - Numerical Array Processing

Matplotlib - 2D Plotting and Visualization

Pandas - Data Frames & CSV Files

Scikit Learn - Python Machine Learning

Seaborn - Statistical Plotting

REGEX - Python RE (Regula Expressions)

PyTorch - Python Tensor Flow

Python - Data Mining Pipeline

This is the Best and Most Complete Scientific Python Course on the Udemy platform that will walk you through the required skills for Data Sciences and useful Machine Learning (ML) libraries such as NumPy, Pandas, Scikit-Learn, Seaborn, Python RE (REGEX), PyTorch and Matplotlib. Furthermore, you learn how to work with different real datasets and use them for developing your models. All the Python code templates that we write during the course together are available, and you can them with the resource button of each section.

WHAT YOU WILL GET & LEARN

In this awesome 18 hours long course we will cover:

SciPy is a free and open-source Python library used for scientific computing and technical computing. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and eeering. The SciPy library is currently distributed under the BSD license, and its development is sponsored and supported by an open community of developers.

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Most of the Matplotlib utilities lies under the pyplot submodule, and are usually imported under the plt alias.

Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and series. It is free software released under the three-clause BSD license.

Scikit-learn: Simple and efficient tools for predictive data analysis · Accessible to everybody, and reusable in various contexts · Built on NumPy, SciPy, and matplotlib.

Seaborn: Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

Python REGEX Regular expressions (called REs, or regexes, or regex patterns) are essentially a tiny, highly specialized programming language embedded inside Python and made available through the re module.




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