Introduction Weather data is integral to various applications, from enabling us to plan outdoor events to supporting industries sensitive to weather conditions. In this tutorial, we’ll delve into how Python can be utilized to fetch weather data from an API and efficiently store it in a MySQL database. …

In the ever-evolving world of finance, risk management is a paramount concern. Financial institutions, regulators, and analysts rely on various techniques to assess the resilience of financial models, portfolios, and systems. One of the most powerful tools in their arsenal is stress testing. Stress testing involves subjecting financial models and…

Introduction The global financial landscape has been a theater of both triumphs and tribulations. The financial crisis of 2008 exposed the fragility of the system, underscoring the need for robust risk assessment tools in the banking sector. As financial institutions increasingly turn to artificial intelligence (AI) and machine learning (ML) technologies…

Introduction Water quality is a critical concern for public health and the environment. In this analysis, we will explore a dataset containing various water quality parameters and predict the potability of water samples using machine learning. We will cover data analysis, preprocessing, modeling, and evaluation of the results. What is water potability and its significance? Potability refers to…

Introduction In today’s financial landscape, managing credit risk efficiently is paramount for lending institutions. Data science and machine learning have revolutionized the way we assess and mitigate this risk. …

In this data-driven exploration, we delve into the intricate relationships between various automobile attributes and one of the most sought-after metrics in the automotive world — Miles Per Gallon (MPG). …

Introduction Are you a data enthusiast looking to dive into causal analysis without the complexities of traditional methods? Enter DoWhy, a Python library that simplifies causal inference. …

Introduction: In the world of data analysis and interactive computing, Jupyter Notebook stands as a beacon of productivity. However, it’s not just limited to crunching numbers; Jupyter Notebook can also be used to create powerful web services. In this comprehensive guide, we’ll explore how to add web services to your Jupyter…

Introduction Predicting the fuel efficiency of vehicles is a task of paramount importance with far-reaching implications. It finds applications in the automotive industry, environmental conservation efforts, urban planning, and beyond. Creating an accurate machine learning model that can estimate a vehicle’s miles per gallon (MPG) based on its specifications can provide…