Edna  Bernhard

Edna Bernhard

1597710293

Everything You Need to Know About Scikit-Learn Python library

If you have just taken your first step in the data science industry and are learning the Python programming language then, being a Pythonist, you should be aware of the Scikit-learn library. If you are seriously considering bringing data science and machine learning into a productive system, then you should be comprehensive for the Scikit-learn Python library. In this article, let us explore the Scikit-Learn Python library and learn different aspects of its utilization.

Background of Scikit-learn

Scikit-learn is also known with the synonyms like scikits.learn (previously known) or sklearn. It is a free and open-source machine learning library that is used for the Python programming language. The library was developed by David Cournapeau as a Google Summer Code project in 2007. The project was later joined by Matthieu Brucher in 2010. The library was first made public in February 2010, and in just two years, that is, in November 2012, the library became one of the most popular libraries of machine learning on Github. The primary features of the Scikit-learn library include classification, regression, and clustering algorithms (support vector machines, random forests, gradient boosting, k-means, and DBSCAN). The sklearn is designed to deal with numerical and scientific libraries of Python like NumPy and SciPy.

Scikit-learn Implementation

Sklearn is utilized majorly in Python programming language and NumPy is used to extend its high-performance in linear algebra and operations. Some of the core algorithms that are written in Cython also use this library to improvise the performance.

#python #machine learning #ai #scikit-learn #python library

What is GEEK

Buddha Community

Everything You Need to Know About Scikit-Learn Python library
Edna  Bernhard

Edna Bernhard

1597710293

Everything You Need to Know About Scikit-Learn Python library

If you have just taken your first step in the data science industry and are learning the Python programming language then, being a Pythonist, you should be aware of the Scikit-learn library. If you are seriously considering bringing data science and machine learning into a productive system, then you should be comprehensive for the Scikit-learn Python library. In this article, let us explore the Scikit-Learn Python library and learn different aspects of its utilization.

Background of Scikit-learn

Scikit-learn is also known with the synonyms like scikits.learn (previously known) or sklearn. It is a free and open-source machine learning library that is used for the Python programming language. The library was developed by David Cournapeau as a Google Summer Code project in 2007. The project was later joined by Matthieu Brucher in 2010. The library was first made public in February 2010, and in just two years, that is, in November 2012, the library became one of the most popular libraries of machine learning on Github. The primary features of the Scikit-learn library include classification, regression, and clustering algorithms (support vector machines, random forests, gradient boosting, k-means, and DBSCAN). The sklearn is designed to deal with numerical and scientific libraries of Python like NumPy and SciPy.

Scikit-learn Implementation

Sklearn is utilized majorly in Python programming language and NumPy is used to extend its high-performance in linear algebra and operations. Some of the core algorithms that are written in Cython also use this library to improvise the performance.

#python #machine learning #ai #scikit-learn #python library

Ray  Patel

Ray Patel

1625843760

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

Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Sival Alethea

Sival Alethea

1624291780

Learn Python - Full Course for Beginners [Tutorial]

This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you’ll be a python programmer in no time!
⭐️ Contents ⭐
⌨️ (0:00) Introduction
⌨️ (1:45) Installing Python & PyCharm
⌨️ (6:40) Setup & Hello World
⌨️ (10:23) Drawing a Shape
⌨️ (15:06) Variables & Data Types
⌨️ (27:03) Working With Strings
⌨️ (38:18) Working With Numbers
⌨️ (48:26) Getting Input From Users
⌨️ (52:37) Building a Basic Calculator
⌨️ (58:27) Mad Libs Game
⌨️ (1:03:10) Lists
⌨️ (1:10:44) List Functions
⌨️ (1:18:57) Tuples
⌨️ (1:24:15) Functions
⌨️ (1:34:11) Return Statement
⌨️ (1:40:06) If Statements
⌨️ (1:54:07) If Statements & Comparisons
⌨️ (2:00:37) Building a better Calculator
⌨️ (2:07:17) Dictionaries
⌨️ (2:14:13) While Loop
⌨️ (2:20:21) Building a Guessing Game
⌨️ (2:32:44) For Loops
⌨️ (2:41:20) Exponent Function
⌨️ (2:47:13) 2D Lists & Nested Loops
⌨️ (2:52:41) Building a Translator
⌨️ (3:00:18) Comments
⌨️ (3:04:17) Try / Except
⌨️ (3:12:41) Reading Files
⌨️ (3:21:26) Writing to Files
⌨️ (3:28:13) Modules & Pip
⌨️ (3:43:56) Classes & Objects
⌨️ (3:57:37) Building a Multiple Choice Quiz
⌨️ (4:08:28) Object Functions
⌨️ (4:12:37) Inheritance
⌨️ (4:20:43) Python Interpreter
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=rfscVS0vtbw&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=3

🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#python #learn python #learn python for beginners #learn python - full course for beginners [tutorial] #python programmer #concepts in python

Art  Lind

Art Lind

1602968400

Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development