Best Python Libraries For Data Science & Machine Learning

Best Python Libraries For Data Science & Machine Learning | Data Science Python Libraries

This video will focus on the top Python libraries that you should know to master Data Science and Machine Learning. Here’s a list of topics that are covered in this session:

• Introduction To Data Science And Machine Learning
• Why Use Python For Data Science And Machine Learning?
• Python Libraries for Data Science And Machine Learning
• Python libraries for Statistics
• Python libraries for Visualization
• Python libraries for Machine Learning
• Python libraries for Deep Learning
• Python libraries for Natural Language Processing

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Further reading about Python

☞ Complete Python Bootcamp: Go from zero to hero in Python 3

☞ Machine Learning A-Z™: Hands-On Python & R In Data Science

☞ Python and Django Full Stack Web Developer Bootcamp

☞ Complete Python Masterclass

☞ Python Tutorial - Python GUI Programming - Python GUI Examples (Tkinter Tutorial)

☞ Computer Vision Using OpenCV

☞ OpenCV Python Tutorial - Computer Vision With OpenCV In Python

☞ Python Tutorial: Image processing with Python (Using OpenCV)

☞ A guide to Face Detection in Python

☞ Machine Learning Tutorial - Image Processing using Python, OpenCV, Keras and TensorFlow

☞ PyTorch Tutorial for Beginners

☞ The Pandas Library for Python

☞ Introduction To Data Analytics With Pandas

#python #data-science #machine-learning #deep-learning

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Python Packages in SQL Server – Get Started with SQL Server Machine Learning Services

Introduction

When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.

Python Packages

When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,

• revoscalepy – This Microsoft Python package is used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
• microsoftml – This is another Microsoft Python package which adds machine learning algorithms in Python.
• Anaconda 4.2 – Anaconda is an opensource Python package

#machine learning #sql server #executing python in sql server #machine learning using python #machine learning with sql server #ml in sql server using python #python in sql server ml #python packages #python packages for machine learning services #sql server machine learning services

Data Science With Python Training | Python Data Science Course | Intellipaat

In this Data Science With Python Training video, you will learn everything about data science and python from basic to advance level. This python data science course video will help you learn various python concepts, AI, and lots of projects, hands-on demo, and lastly top trending data science and python interview questions. This is a must-watch video for everyone who wishes o learn data science and python to make a career in it.

#data science with python #python data science course #python data science #data science with python

6 Best Python IDEs for Data Science & Machine Learning [2021]

**Introduction **

An IDE (Integrated Development Environment) is used for software development. An IDE may have a compiler, debugger, and all the other requirements needed for software development. IDEs help in consolidating different aspects of a computer program. IDE is also used for development in Data Science (DS) and Machine Learning (ML) due to its vast libraries.

Various aspects of code writing can be implemented through IDEs like compiling, debugging, building executables, editing source code, etc. Python is a widely used language by coders, and python IDEs help in coding & compiling easily. There are IDEs which are used a lot nowadays, let us see some of the best Python IDEs for DS & ML in the market. Read why python is so popular with developers.

#data science #python #python ide #python ide for data science #python ide for machine learning

6 Best Python IDEs for Data Science & Machine Learning [2021] | upGrad blog

**Introduction **

An IDE (Integrated Development Environment) is used for software development. An IDE may have a compiler, debugger, and all the other requirements needed for software development. IDEs help in consolidating different aspects of a computer program. IDE is also used for development in Data Science (DS) and Machine Learning (ML) due to its vast libraries.

Various aspects of code writing can be implemented through IDEs like compiling, debugging, building executables, editing source code, etc. Python is a widely used language by coders, and python IDEs help in coding & compiling easily. There are IDEs which are used a lot nowadays, let us see some of the best Python IDEs for DS & ML in the market. Read why python is so popular with developers.

#data science #python #python ide #python ide for data science #python ide for machine learning

How I'd Learn Data Science If I Were To Start All Over Again

A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start? The funny thing was that the path that I imagined was completely different from that one that I actually did when I was starting.

I’m aware that we all learn in different ways. Some prefer videos, others are ok with just books and a lot of people need to pay for a course to feel more pressure. And that’s ok, the important thing is to learn and enjoy it.

So, talking from my own perspective and knowing how I learn better I designed this path if I had to start learning Data Science again.

As you will see, my favorite way to learn is going from simple to complex gradually. This means starting with practical examples and then move to more abstract concepts.

#data-science #machine-learning #artificial-intelligence #python-top-story #data-science-top-story #learn-python #learn-data-science