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

On-Chain Analytics: Metrics for Analyzing Blockchains in Python

this tutorial is about working with blockchain data in python using the CryptoCompare api

Cryptocurrencies like Bitcoin or Ethereum are built on public blockchains, meaning anyone can see the transactions and trades happening on these networks. This transparency makes on-chain data an excellent resource for data science and machine learning. By examining transaction activity and the holdings of Bitcoin addresses, analysts can better understand … Read more

Using Pandas DataReader to Access Online Data Sources in Python

pandas datareader api tutorial

Pandas DataReader is a library that allows data scientists to easily read data from a variety of sources into a Pandas DataFrame. This is especially useful for accessing data that resides outside of their local development environment and needs to be accessed via APIs. The Pandas DataReader provides functions for … Read more

Feature Engineering and Selection for Regression Models with Python and Scikit-learn

exploratory feature analysis python car price prediction

Training a machine learning model is like baking a cake: the quality of the end result depends on the ingredients you put in. If your input data is poor, your predictions will be too. But with the right ingredients – in this case, carefully selected input features – you can … Read more

Create a Personalized Movie Recommendation Engine using Content-based Filtering in Python

content-based recommender system python machine learning

Content-based recommender systems are a popular type of machine learning algorithm that recommends relevant articles based on what a user has previously consumed or liked. This approach aims to identify items with certain keywords, understand what the customer likes, and then identify other items that are similar to items the … Read more