Category: Data Science

Data Science, Tutorials

Analyzing Senate Stock Trades

Analyzing Stock Market Activity of US Senators with Python¶ In 2012, a law called ” Stop Trading on Congressional Knowledge (STOCK) Act of 2012″ was passed, which prohibits the use of non-public information for private profit, including insider trading by members of Congress and other government employees. This law however did not completely ban stock, […]

Data Science

How to Become a Data Scientist

Organizations globally are increasingly relying on data to make their business processes more efficient, reach their customers more effectively, and make better decisions. Being a data scientist can be an extremely rewarding career, where you help these organizations gain insights from their data and make the decisions that really matter. But people often want to […]

Data Science

Top 10 Pandas Methods You Haven’t Heard of

If you’re a data scientist, you’ve probably heard of Pandas. It’s one of the most popular open-source data analysis libraries out there. But did you know that Pandas has a ton of hidden features? In this blog post, we’ll discuss 10 Pandas methods that you haven’t heard of. These methods can help you do everything […]

Data Science, R

Top 10 R Data Science Libraries

While Python is arguably the most popular programming language used in Data Science, there are still some areas where R is better. For example, R is generally better than Python for building statistical models. Likewise, R also simplifies the process of creating graphics and data visualizations. As such, R remains a valuable tool in every […]

Data Science, Tutorials

Visualizing Prediction Markets with Kalshi and Python

Visualizing Prediction Markets with Python and Kalshi¶ In this blog post we’ll explore Prediction Markets using Kalshi. What is Kalshi?¶ Kalshi is a predictions market, regulated by the Commodity Futures Trading Commission (CFTC) where you can buy event contracts based on future outcomes for certain events, such as the number of COVID cases in the […]

Data Science, Machine Learning

How to interpret box plots

Box plots are a great way to visualize your data. They can help you see the distribution of your data, as well as any outliers that may be present. In this article, we will show you how to interpret box plots, and give some examples of how they can be used in machine learning applications. […]

Data Science, Machine Learning

Understanding Boosted Trees Algorithms

There has been a recent resurgence of interest in Boosted Trees Algorithms. This is due to the success of machine learning algorithms in general, and the realization that boosted trees are a very powerful tool for solving many problems. In this article, we will discuss what boosted trees are, and how they work. We will […]

Data Science, Tutorials

How to install JupyterLab and Jupyter Notebook

For years, Jupyter Notebook, with its simple-to-use, streamlined, and document-centric interface has been the go-to web application for creating and sharing scientific computational documents. It supports a wide range of programming languages, and it allows users to produce rich and interactive outputs in a range of formats. In turn, JupyterLab is the next generation of […]

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