Veri Bilimi Eğitimleri

Learn why you would transform your data from a long to a wide format and vice versa and explore how to do this in R with melt() and dcast()!

Explore graph-structured multi-task regression with the GFLASSO R package with this tutorial!

Explore the definition of centrality, learn what different types of centrality measures exist in network analysis and pick the best one for a given network!

Discover all about logistic regression: how it differs from linear regression, how to fit and evaluate these models it in R with the glm() function and more!

Start analyzing titanic data with R and the tidyverse: learn how to filter, arrange, summarise, mutate and visualize your data with dplyr and ggplot2!

Discover the Python pickle module: learn about serialization, when (not) to use it, how to compress pickled objects, multiprocessing, and much more!

Learn how to perform tidy sentiment analysis in R on Prince's songs, sentiment over time, song level sentiment, the impact of bigrams, and much more!

Learn the basics of object-oriented programming in Python: classes, objects, attributes, and methods explained step by step with code examples.

Learn what k-means is and discover why it’s one of the most used clustering algorithms in data science

Tackle feature selection in R: explore the Boruta algorithm, a wrapper built around the Random Forest classification algorithm, and its implementation!

A step-by-step guide to easily deploying a Facebook Messenger chatbot with Python, using Flask, requests and ngrok.

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!