Convolutional Neural Networks in Python with KerasIn this tutorial, you’ll learn how to implement Convolutional Neural Networks (CNNs) in Python with Keras, and how to overcome overfitting with dropout.
Formulas in R TutorialDiscover the R formula and how you can use it in modeling- and graphical functions of well-known packages such as stats, and ggplot2.
Pipes in R Tutorial For BeginnersLearn more about the famous pipe operator %>% and other pipes in R, why and how you should use them and what alternatives you can consider!
Web scraping & NLP in PythonLearn to scrape novels from the web and plot word frequency distributions; You will gain experience with Python packages requests, BeautifulSoup and nltk.
Hierarchical indices, groupby and pandasIn this tutorial, you’ll learn about multi-indices for pandas DataFrames and how they arise naturally from groupby operations on real-world data sets.
Groupby, split-apply-combine and pandasIn 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.
Python Statistics and Probability Tutorial - Part 1This Python statistics tutorial covers foundational topics in probability: combinations and permutations, dependent and independent events and expected value.
Graph Optimization with NetworkX in PythonThis NetworkX tutorial will show you how to do graph optimization in Python by solving the Chinese Postman Problem in Python.