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Tutorial di Data Science
Fai avanzare la tua carriera nei dati con i nostri tutorial di data science. Ti guidiamo passo dopo passo attraverso funzioni e modelli di data science complessi.
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Machine Learning with Kaggle: Feature Engineering
Learn how feature engineering can help you to up your game when building machine learning models in Kaggle: create new columns, transform variables and more!
Hugo Bowne-Anderson
10 gennaio 2018
8 Useful Shell Commands for Data Science
Which shell commands do data scientists use nearly every day? Discover and learn how to use them in this tutorial!
Alexis Perrier
5 gennaio 2018
Kaggle Tutorial: Your First Machine Learning Model
Learn how to build your first machine learning model, a decision tree classifier, with the Python scikit-learn package, submit it to Kaggle and see how it performs!
Hugo Bowne-Anderson
3 gennaio 2018
Kaggle Tutorial: EDA & Machine Learning
In this Kaggle tutorial, you'll learn how to approach and build supervised learning models with the help of exploratory data analysis (EDA) on the Titanic data.
Hugo Bowne-Anderson
21 dicembre 2017
Five Tips to Improve your R Code
Five useful tips that you can use to effectively improve your R code, from using seq() to create sequences to ditching which() and much more!
Simon Jackson
13 dicembre 2017
AWS EC2 Tutorial For Beginners
Discover why you should use Amazon Web Services Elastic Compute Cloud (EC2) and how you can set up a basic data science environment on a Windows instance.
DataCamp Team
6 dicembre 2017
R Formula Tutorial
Discover the R formula and how you can use it in modeling- and graphical functions of well-known packages such as stats, and ggplot2.
Karlijn Willems
23 novembre 2017
Pipes in R Tutorial For Beginners
Learn more about the famous pipe operator %>% and other pipes in R, why and how you should use them and what alternatives you can consider!
Karlijn Willems
21 dicembre 2022
Web Scraping & NLP in Python
Learn to scrape novels from the web and plot word frequency distributions; You will gain experience with Python packages requests, BeautifulSoup and nltk.
Hugo Bowne-Anderson
13 ottobre 2017
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 marzo 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 settembre 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 settembre 2017