Kategori

Ämnen

Handledningar i data science

Utveckla din karriär inom data med våra handledningar i data science. Vi guidar dig steg för steg genom utmanande funktioner och modeller inom data science.

Andra ämnen:

AI för företagBig DataData engineeringDataanalysDatastyrningDatavisualiseringDeep LearningMaskininlärningMLOps

Tränar du 2 eller fler personer?Prova DataCamp for Business

Hierarchical indices, groupby and pandas

In this tutorial, you’ll learn about multi-indices for pandas DataFrames and how they arise naturally from groupby operations on real-world data sets.

Hugo Bowne-Anderson

31 mars 2023

Groupby, split-apply-combine and pandas

In this tutorial, you'll learn how to use the pandas groupby operation, which draws from the well-known split-apply-combine strategy, on Netflix movie data.

Hugo Bowne-Anderson

26 september 2017

Poker Probability and Statistics with Python

Tackle probability and statistics in Python: learn more about combinations and permutations, dependent and independent events, and expected value.

Daniel Poston

21 september 2017

Graph Optimization with NetworkX in Python

This NetworkX tutorial will show you how to do graph optimization in Python by solving the Chinese Postman Problem in Python.

Andrew Brooks

12 september 2017

Detecting Fake News with Scikit-Learn

This scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.

Katharine Jarmul

24 augusti 2017

Apache Spark Tutorial: ML with PySpark

Apache Spark tutorial introduces you to big data processing, analysis and ML with PySpark.

Karlijn Willems

28 juli 2017

Scikit-Learn Tutorial: Baseball Analytics Pt 2

A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hall of Fame

Daniel Poston

20 juni 2017

5 Tips to Write Idiomatic Pandas Code

This tutorial covers 5 ways in which you can easily write pandorable or more idiomatic Pandas code.

DataCamp Team

26 juni 2025

Scikit-Learn Tutorial: Baseball Analytics Pt 1

A scikit-learn tutorial to predicting MLB wins per season by modeling data to KMeans clustering model and linear regression models.

Daniel Poston

4 maj 2017

R

The R Graph Gallery's Top 5 Most Visited Graph Themes

A list of the 5 most popular graphs among R users and enthusiasts.

DataCamp Team

14 april 2017

Data Analysis

Exploratory Data Analysis of Craft Beers: Data Profiling

In this tutorial, you'll learn about exploratory data analysis (EDA) in Python, and more specifically, data profiling with pandas.

DataCamp Team

13 april 2017

Deep Learning

Deep Learning with Jupyter Notebooks in the Cloud

This step-by-step tutorial will show you how to set up and use Jupyter Notebook on Amazon Web Services (AWS) EC2 GPU for deep learning.

Dan Becker

23 mars 2017