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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Stocks, Significance Testing & p-Hacking

Learn how to manipulate time series data with pandas and conduct significance testing through simulation using Python, to analyze stock market volatility.

Patrick David

2018年12月11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

Avinash Navlani

2026年1月15日

Comparison of BI and Analytics Platforms

In this tutorial, you will learn about different factors that are taken into consideration before choosing your Analytics Platform both at the organization and individual level.

Nishant Singh

2018年11月26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

2018年11月21日

How to Import Data Into R: A Complete Guide

Learn how to import CSV, Excel, JSON, SQL databases, XML, and more into R using readr, readxl, haven, data.table, and other popular packages.

Abid Ali Awan

2026年5月28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

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

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.