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 … Read more
Scikit-Learn
Scikit-learn is a free and open-source machine learning library for Python. It provides a range of algorithms for data mining and analysis, including classification, regression, clustering, and dimensionality reduction. Scikit-learn is built on the popular Python scientific computing libraries NumPy, SciPy, and matplotlib, and is designed to be easy to use and extend. It also includes tools for model evaluation and selection, as well as data preprocessing and transformation. Scikit-learn is widely used in the field of machine learning and is a popular choice for academic and commercial projects.
How to Use Hierarchical Clustering For Customer Segmentation in Python
Have you ever found yourself wondering how you can better understand your customer base and target your marketing efforts more … Read more
Feature Engineering and Selection for Regression Models with Python and Scikit-learn
Training a machine learning model is like baking a cake: the quality of the end result depends on the ingredients … Read more
Create a Personalized Movie Recommendation Engine using Content-based Filtering in Python
Content-based recommender systems are a popular type of machine learning algorithm that recommends relevant articles based on what a user … Read more
Unveiling Hidden Patterns in the Cryptocurrency Market with Affinity Propagation and Python
Affinity propagation is a powerful unsupervised clustering technique that can identify hidden patterns in large datasets. In the cryptocurrency world, … Read more
Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python
Perfecting your machine learning model’s hyperparameters can often feel like hunting for a proverbial needle in a haystack. But with … Read more
Stock Market Forecasting Neural Networks for Multi-Output Regression in Python
Multi-output time series regression can forecast several steps of a time series at once. The number of neurons in the … Read more
Cluster Analysis with k-Means in Python
Embark on a journey into the world of unsupervised machine learning with this beginner-friendly Python tutorial focusing on K-Means clustering, … Read more
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 … Read more
Predictive Policing: Preventing Crime in San Francisco using XGBoost and Python
In this tutorial, we’ll be using machine learning to predict and map out crime in San Francisco. We’ll be working … Read more
Customer Churn Prediction – Understanding Models with Feature Permutation Importance using Python
Customer retention is a prime objective for service companies, and understanding the patterns that lead to customer churn can be … Read more