Stock Price Prediction with LSTM

Long Short-Term Memory (LSTM) networks are a special type of recurrent neural network (RNN) widely used in machine learning for regression tasks and time series forecasting. Unlike traditional neural networks, LSTMs are designed to retain information over long sequences, making them especially powerful for sequential data. If you’re interested in learning how to forecast stock … Read more

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