Exploring educational data can provide deep insights into student performance and school effectiveness. In this blog post, I will guide you through a detailed analysis of a school dataset, explaining each step and the insights we gain from the data. This comprehensive analysis will help in understanding the distribution of student performance across different schools and identifying key areas for improvement.
In the ever-evolving world of data science and forecasting, having a reliable tool that can quickly generate high-quality forecasts at scale is crucial. One such tool that has gained popularity in recent years is Facebook Prophet. In this blog post, we'll explore how Prophet can be used to build time series models for forecasting and dive into the process of preparing and analyzing time series data. We'll also provide a link to a Colab notebook for hands-on experience.
In the dynamic world of finance, making informed investment decisions can be quite challenging. Fortunately, advancements in technology and mathematical modeling have given rise to powerful tools that enable investors to gain a deeper understanding of potential outcomes. One such tool is the Monte Carlo Simulation, a technique that harnesses the power of randomness to forecast various scenarios and make evidence-based investment choices. In this article, we'll delve into the realm of evidence-based investing using a Monte Carlo Simulation, building upon the insightful notebook developed by Matt Macarty.