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

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

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

Ray  Patel

Ray Patel

1619550180

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

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

Top Machine Learning Projects in Python For Beginners [2021] | upGrad blog

If you want to become a machine learning professional, you’d have to gain experience using its technologies. The best way to do so is by completing projects. That’s why in this article, we’re sharing multiple machine learning projects in Python so you can quickly start testing your skills and gain valuable experience.

However, before you begin, make sure that you’re familiar with machine learning and its algorithm. If you haven’t worked on a project before, don’t worry because we have also shared a detailed tutorial on one project:

The Iris Dataset: For the Beginners

The Iris dataset is easily one of the most popular machine learning projects in Python. It is relatively small, but its simplicity and compact size make it perfect for beginners. If you haven’t worked on any machine learning projects in Python, you should start with it. The Iris dataset is a collection of flower sepal and petal sizes of the flower Iris. It has three classes, with 50 instances in every one of them.

We’ve provided sample code on various places, but you should only use it to understand how it works. Implementing the code without understanding it would fail the premise of doing the project. So be sure to understand the code well before implementing it.

#artificial intelligence #machine learning #machine learning in python #machine learning projects #machine learning projects in python #python

Uriah  Dietrich

Uriah Dietrich

1618449987

How To Build A Data Science Career In 2021

For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

With industry-linkage, technology and research-driven seamless education, NIIT University has been recognised for addressing the growing demand for data science experts worldwide with its industry-ready courses. The university has recently introduced B.Tech in Data Science course, which aims to deploy data sets models to solve real-world problems. The programme provides industry-academic synergy for the students to establish careers in data science, artificial intelligence and machine learning.

“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.

#careers # #data science aspirant #data science career #data science career intervie #data science education #data science education marke #data science jobs #niit university data science