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
Classic Machine Learning
Classic machine learning is a term used to refer to traditional or “old-school” approaches to machine learning, as opposed to more modern or cutting-edge methods. Classic machine learning typically involves the use of well-established algorithms, such as decision trees and support vector machines, to build and train machine learning models on labeled datasets. These algorithms are often relatively simple and easy to understand, and can be applied to a wide range of data and problems. Classic machine learning algorithms are typically supervised, meaning that they require a labeled dataset, with known correct outputs, in order to learn and make predictions. They are also often deterministic, meaning that they always produce the same output for a given input, and are not designed to handle uncertainty or noise in the data.
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
Unlocking the Potential of Machine Learning in the Insurance Industry: Five Use Cases with High Business Value
The insurance industry has long harnessed technology’s transformative power. From online policy applications to modernized claims processing systems, the tech … 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
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
Forecasting Beer Sales with ARIMA in Python
Time series analysis and forecasting is a tough nut to crack, but the ARIMA model has been cracking it for … Read more
Training a Sentiment Classifier with Naive Bayes and Logistic Regression in Python
Are you ready to learn about the exciting world of social media sentiment analysis using Python? In this article, we’ll … Read more
Classifying Purchase Intention of Online Shoppers with Python
Online shopping has become a part of our daily lives, and online stores are continually seeking to improve their sales. … Read more
Stock Market Prediction – Adjusting Time Series Prediction Intervals in Python
Get ready to level up your time-series forecasting game! In this tutorial, we’re going to take things up a notch … Read more
Flight Delay Prediction using Azure Machine Learning
If you travel a lot, you’ve probably already experienced this – you’re in a hurry on your way to the … Read more