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 […]
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 […]
The Random Forest algorithm is a machine learning technique that is used to predict the outcomes of events. It is a type of ensemble learning, which means that it combines the predictions of multiple models in order to produce a better prediction. A Random Forest algorithm is commonly used for classification and regression tasks. In […]
Data Science, Machine Learning
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
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 […]
Picture this: you’ve just finished creating a fantastic Python program and intend to let the world see it. You then send your friend a directory containing all your scripts and encourage them to try it out. Only first, they must install Python and then run the program via the IDLE shell or the command line. […]
In this blog post we’ll explore visualizing the Yield Curve through a cool 3D Surface Plot, since we’ll be exploring 3 dimensions of data: the rate yields, the publication date, and the rate periods. Grabbing Yield Curve for 2022¶ We can use the pandas library to directly read the HTML table from the […]
Data Science, Python Basics, Tutorials
Learn how to use Python and Data Science to visualize and analyze inflation data.
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 […]
Tensors play a very important role in deep learning and machine learning. They are at the heart of algorithms such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) that are widely used in many applications such as image recognition, natural language processing, and time series analysis. In this article, we will first briefly […]
