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데이터 사이언스 튜토리얼로 커리어를 한 단계 높이세요. 까다로운 데이터 사이언스 함수와 모델을 단계별로 안내합니다.
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Understanding Blockchains by Coding One in R
Implement a small blockchain in R and learn more about what a blockchain looks like and some of the core concepts behind it!
Johannes Mueller
2018년 2월 8일
Google Cloud for Data Science: Beginner's Guide
Learn to set up a data science environment on Google Cloud: create an instance on Google Compute Engine, install Anaconda and run Jupyter notebooks!
Alexis Perrier
2018년 2월 6일
Lyric Analysis with NLP & Machine Learning with R
Dive into the lyrics of Prince's music with R: use text mining and Exploratory Data Analysis (EDA) to shed insight on The Artist's career.
Debbie Liske
2018년 2월 2일
Data Science for Search Engine Marketing (SEM)
In this tutorial, data science meets Search Engine Marketing: learn to create Google AdWords campaigns by generating keywords and ad templates with Python!
Elias Dabbas
2018년 1월 26일
PEP-8 Tutorial: Code Standards in Python
With this beginner tutorial, you'll start to explore PEP-8, Python's style guide, so that you can start formatting your code correctly to maximize its readability!
Chitrank Dixit
2023년 4월 11일
Python String Tutorial
In this tutorial, you'll learn all about Python Strings: slicing and striding, manipulating and formatting them with the Formatter class, f-strings, templates and more!
Sejal Jaiswal
2018년 1월 18일
Time Series Analysis Tutorial with Python
Get Google Trends data of keywords such as 'diet' and 'gym' and see how they vary over time while learning about trends and seasonality in time series data.
Hugo Bowne-Anderson
2018년 1월 17일
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
2018년 1월 10일
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
2018년 1월 5일
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
2018년 1월 3일
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
2017년 12월 21일
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
2017년 12월 13일