Unlocking the Potential of Machine Learning in the Insurance Industry: Real-World Use Cases and Benefits

Machine Learning in Insurance

This article kicks off a new blog series in which we dive into the state of machine learning in different industries – starting with the insurance industry. Machine learning is transforming the insurance industry by providing new and powerful ways to analyze and manage risk. With the help of advanced … Read more

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

anomaly detection random isolation forests

Credit card fraud has become one of the most common use cases for anomaly detection systems. The number of fraud attempts has risen sharply, resulting in billions of dollars in losses. Early detection of fraud attempts with machine learning is therefore becoming increasingly important. In this article, we take on … Read more

Forecasting Beer Sales with ARIMA in Python

Forecasting Beer Sales with ARIMA

Time series analysis and forecasting is a tough nut to crack, but the ARIMA model has been cracking it for decades. ARIMA, short for “Auto-Regressive Integrated Moving Average,” is a powerful statistical modeling technique for time series analysis. It’s particularly effective when the time series you’re analyzing follows a clear … Read more

Sentiment Analysis with Naive Bayes and Logistic Regression in Python

sentiment classifier python machine learning

Get ready to dive into the world of social media sentiment analysis with Python! In this article, we’ll be exploring how companies are using machine learning to analyze the sentiments expressed in Twitter comments and how you can do the same. We’ll be training and comparing different classification models using … Read more