Online Payments Fraud Detection

To detect online payment fraud using machine learning, we first need to train a classification model that can distinguish between fraudulent and legitimate transactions. This requires a dataset with detailed information on past cases of online payment fraud, helping us understand the patterns and characteristics of fraudulent activities. For this project, we will use this … Read more

Instagram Reach Analysis

Instagram stands among the most popular social media platforms today. Many professionals use it to promote their businesses, showcase portfolios, blog, and create diverse types of content. With millions of users across various niches, Instagram continually evolves to enhance the experience for both content creators and audiences. However, these constant changes can significantly impact the … Read more

Time Series Forecasting with ARIMA

Time Series Forecasting involves analyzing and modeling data collected over time to predict future outcomes. It has a wide range of applications, including weather prediction, sales projections, business planning, and stock price forecasting. One of the most widely used statistical methods for this purpose is the ARIMA model. What is ARIMA? ARIMA stands for AutoRegressive … Read more