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.
Detecting Fake News with Scikit-LearnThis scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.
How to Make a Histogram with ggvis in RLearn how to make a histogram with ggvis. Go from the very basics to creating interactive graphs with shiny to display distributions.
Python Seaborn Tutorial For BeginnersThis Seaborn tutorial introduces you to the basics of statistical data visualization
Apache Spark Tutorial: ML with PySparkApache Spark tutorial introduces you to big data processing, analysis and ML with PySpark.
SQL Tutorial: How To Write Better QueriesLearn about anti-patterns, execution plans, time complexity, query tuning, and optimization in SQL.
TensorFlow Tutorial For BeginnersLearn how to build a neural network and how to train, evaluate and optimize it with TensorFlow
Top 5 Python IDEs For Data ScienceThe best Python IDEs for data science that make data analysis and machine learning easier!
Scikit-Learn Tutorial: Baseball Analytics Pt 2A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hall of Fame