Datacamp جایگزین، گزینه ها & رقبا
Learn Data Science & AI from the comfort of your browser, at your own pace with DataCamp's video tutorials & coding challenges on R, Python, Statistics & more.
جایگزین ها و رقبا برای datacamp.com از نظر محتوا، ترافیک و ساختار
PyData |.
Analytics Vidhya - Learn Machine learning, artificial intelligence, business analytics, data science, big data, data visualizations tools and techniques.
Learn Python online: Python tutorials for developers of all skill levels, Python books and courses, Python news, code examples, articles, and more.
Your home for data science. A Medium publication sharing concepts, ideas and codes.
R news and tutorials contributed by hundreds of R bloggers
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Review our step-by-step Data Science tutorials using a variety of tools, such as Python, SQL, MS Access, MS Excel, and more!
Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.
Matplotlib — Visualization with Python.
Making developers awesome at machine learning.
Scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation.
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
The Python Package Index (PyPI) is a repository of software for the Python programming language.
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The official home of the Python Programming Language
R: The R Project for Statistical Computing.
Easily search the documentation for every version of every R package on CRAN and Bioconductor.
STHDA est dédié à l'analyse statistique des données en utilisant le langage R.
Quick-R: Home Page.
Tidyverse.
Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
The Python Graph Gallery displays hundreds of charts made with Python, always with explanation and reproduciible code
Home | Pythonic Perambulations.
ThisPointer – Programming Tutorials.
Do you want to learn Python from scratch to advanced, check out best way to learn python and machine learning from experts.
Statology is a website that makes learning statistics easy by explaining concepts in simple, straightforward ways.
Python tutorials: Pandas, Statsmodels, Seaborn, Matplotlib. R tutorials: descriptive statistics, importing data, and many more.
Spark By Examples | Learn Spark Tutorial with Examples In this Apache Spark Tutorial, you will learn Spark with Scala code examples and every sample example explained here is available at Spark Examples Github Project for reference. All Spark examples provided in this Apache Spark Tutorials are basic, simple, easy to practice for beginners who
Keras documentation
Online Tutorials Library.
A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
A comprehensive index of R packages and documentation from CRAN, Bioconductor, GitHub and R-Forge.
Program Creek – More Pictures, Less Words.
The web framework for perfectionists with deadlines | Django.
Tutorials, Free Online Tutorials, Javatpoint provides tutorials and interview questions of all technology like java tutorial, android, java frameworks, javascript, ajax, core java, sql, python, php, c language etc. for beginners and professionals.
The R graph gallery displays hundreds of charts made with R, always providing the reproducible code.
Datamentor: Learn to Code in R Programming and Python |.
An R introduction to statistics that explains basic R concepts and illustrates with statistics textbook homework exercises.
RStudio provides open source and enterprise-ready professional software for data science.
Statistics Globe is an education platform providing free programming tutorials - R programming & Python - Statistics & data science.
Adam Smith.
Learn to Make Plots in Python and R
Python Tutorials for Beginners and Experienced Programmers
Python Examples – Learn Python Programming - Python Examples.
Scipy Lecture Notes — Scipy lecture notes.
Nkmk.me.
Learn Data Science with Python and R