Predictive Maintenance: Predicting Machine Failure using Sensor Data with XGBoost and Python

Predictive maintenance is a game-changer for the modern industry. Still, it is based on a simple idea: By using machine learning algorithms, businesses can predict equipment failures before they happen and optimize their maintenance cycles to improve efficiency and reduce costs. In this article, we’ll explore the use of machine … Read more

Univariate Stock Market Forecasting using Facebook Prophet in Python

Facebook Prophet

Have you ever wondered how Facebook predicts the future? Meet Facebook Prophet, the open-source time series forecasting tool developed by Facebook’s Core Data Science team. Built on top of the PyStan library, Facebook Prophet offers a simple and intuitive interface for creating forecasts using historical data. What sets Facebook Prophet … 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

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

Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python

house price prediction hyperparameter tuning

Finding the perfect hyperparameters for your machine learning model can be like searching for a needle in a haystack – unless you use random search. This efficient method automates the process of hyperparameter tuning, so you don’t have to spend hours manually testing different configurations. Hyperparameters are model properties (e.g., … Read more