r programming

+2## Web Scraping in R: rvest Tutorial

Explore web scraping in R with rvest with a real-life project: extract, preprocess and analyze Trustpilot reviews with tidyverse and tidyquant, and much more!statistical modeling

+2## Analyzing Poker Hands with Python

Analyze poker hands with Python and easily implement statistical concepts such as combinations, permutations, (in)dependent events and expected value.machine learning

+1## Ensemble Learning in R with SuperLearner

Boost your machine learning results and discover ensembles in R with the SuperLearner package: learn about the Random Forest algorithm, bagging, and much more!## Generating Realistic Random Datasets with Trumania

Why do data scientists and data engineers work with synthetic data? How do they obtain it? Discover Trumania, a scenario-based random dataset generator library.machine learning

## Active Learning: Curious AI Algorithms

Discover active learning, a case of semi-supervised machine learning: from its definition and its benefits, to applications and modern research into it.blockchain

+2## 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!python

## Python Tuples Tutorial

Learn about Python tuples: what they are, how to create them, when to use them, what operations you perform on them and various functions you should know.data analysis

## 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!machine learning

## Finding Similar Names with Matrix Factorization

Applying matrix factorization on user clicks on hundreds of names on the recommender system NamesILike.com reveal an unseen structure in our first names.## 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.data manipulation

+1## 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!python

+1## 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!python

## Python Iterator Tutorial

Learn all about the Python iterator, how they differ from iterables and generators, and how to build one yourself with __iter__, __next__ and itertools.must read

machine learning

## Transfer Learning: Leverage Insights from Big Data

In this tutorial, you’ll see what transfer learning is, what some of its applications are and why it is critical skill as a data scientist.python

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