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数据科学教程

通过我们的数据科学教程推动您的数据职业发展。我们将带您一步步完成具有挑战性的 数据科学函数与模型。
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R Contingency Tables Tutorial

In this tutorial, you'll learn how to create contingency tables and how to test and quantify relationships visible in them.

Łukasz Deryło

2018年12月13日

Olivia Smith

2018年12月12日

Naive Bayes Classification Tutorial using Scikit-learn

Learn how to build and evaluate a Naive Bayes Classifier using Python's Scikit-learn package.
Abid Ali Awan's photo

Abid Ali Awan

Avinash Navlani's photo

Avinash Navlani

2026年1月15日

Overview of Atom IDE

In this tutorial, you'll learn the importance of IDEs, how to set-up Atom, and download packages.
Sejal Jaiswal's photo

Sejal Jaiswal

2018年11月21日

How to Import Data Into R

Find out how to import data into R, including CSV, JSON, Excel, HTML, databases, SAS, SPSS, Matlab, and other files using the popular R packages.
Abid Ali Awan's photo

Abid Ali Awan

2024年12月16日

A Loops in R Tutorial - Usage and Alternatives

A tutorial on loops in R that looks at the constructs available in R for looping. Discover alternatives using R's vectorization feature.
Carlo Fanara's photo

Carlo Fanara

2023年1月30日

Machine Learning in R for beginners

This small tutorial is meant to introduce you to the basics of machine learning in R: it will show you how to use R to work with KNN.
Karlijn Willems's photo

Karlijn Willems

2018年11月20日

Introduction to Monte Carlo Methods

In this tutorial, the reader will learn the Monte Carlo methodology and its applications in data science, like integral approximation, and parameter estimation.
Asael Alonzo Matamoros's photo

Asael Alonzo Matamoros

2018年11月9日

Essentials of Linear Regression in Python

Learn what formulates a regression problem and how a linear regression algorithm works in Python.
Sayak Paul's photo

Sayak Paul

2018年10月31日

Introduction to MongoDB and Python

In this tutorial, you'll learn how to integrate MongoDB with your Python applications.
Derrick Mwiti's photo

Derrick Mwiti

2018年10月30日