Introduction Welcome to this blog post on Decision Tree Classification! Let’s share with you the ins and outs of one of the most popular and widely used algorithms in machine learning. Decision tree classification is a powerful tool that can be used to solve a wide range of problems, from predicting customer churn to detecting […]
Introduction K Means clustering is a popular machine learning algorithm used for grouping data points into distinct clusters based on their similarities. This powerful technique is widely used in various fields such as finance, marketing, biology and many more. K Means clustering is an unsupervised learning algorithm which means it doesn’t require the input data […]
Data Science, Machine Learning, Tutorials
Introduction K Nearest Neighbors (KNN) is a popular supervised machine learning algorithm that has been widely used in a variety of fields, including marketing, healthcare, and image recognition. It is a simple yet powerful algorithm that belongs to the category of instance-based learning or lazy learning. The KNN algorithm can be applied both for classification […]
Introduction In this blog post we’re going to take a deep dive into support vector classification (SVC) in Python. We will start by looking at the basics of SVC and how it works, before moving on to discuss some of its most important features and parameters. Finally, I’ll show you how easy it is to […]
Introduction Learning how to skip a value in a Python list is an important skill to have as it can help you write more efficient and effective code. Skipping values in lists can be done in several different ways, depending on the specific situation. Learning how to skip a value in a Python list is […]
Data Science, Machine Learning, Tutorials
Introduction In this blog post we’ll be discussing nonlinear regression. In particular, we’ll analyze “polynomial regression”, which is one of the main processes to quickly create a non-linear regression model by expanding the existing data set. Nonlinear regression allows us to […]
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 […]
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 […]
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 […]
