Stock-Market Prediction using Neural Networks for Multi-Output Regression in Python

This article showcases multi-output neural networks for time-series regression and demonstrates their use in the context of stock market forecasting. We will train and test a Keras neural network with ten output neurons using historical price quotes for Apple stock. … Continued

Simple Cluster Analysis using K-Means and Python

This article shows how to run a simple cluster analysis on synthetic data using the K-Means clustering algorithm in Python. Cluster analysis is an unsupervised machine learning technique that groups similar objects into clusters and separates them from different ones. … Continued

Multivariate Anomaly Detection on Time-Series Data in Python: Using Isolation Forests to Detect Credit Card Fraud

Credit card fraud has become one of the most common use cases for anomaly detection systems. The number of fraud attempts has risen sharply in recent years, resulting in billions of dollars in losses. Early detection of fraud attempts with … Continued

Building a Twitter Bot for Crypto Trading Signals using Python

In this article, we will develop a Twitter bot in Python that will generate automated trading signals. Our bot will pull real-time price data on various cryptocurrencies (Bitcoin, Ethereum, Doge, etc.) from the crypto exchange and analyze it using … Continued

Forecasting Criminal Activity in San Francisco using XGBoost and Python

I recently came across an interesting Kaggle contest that involves predicting different types of criminal activity in San Francisco. As you can imagine, in a massive city like San Francisco, numerous crimes happen every day. Crime statistics distinguish between 39 … Continued