How to Automatize your Twitter News Account with OpenAI ChatGPT and NewsAPI in Python
This tutorial guides you through creating an intelligent bot fetching and sharing relevant news updates on Twitter.
Algorithms
19 tutorials
ChatGPT Style Guide: Understanding Voice and Tone Prompt Options for Engaging Conversations
This ChatGPT style guide presents voice and tone options and explains how you can trigger them with simple language.
Foundation Models Are Here: How Will They Impact Traditional Machine Learning?
Just a year ago, ChatGPT was launched, and it has since catalyzed a seismic shift in the AI landscape. Given the astonishing capabilities of generative AI…
Predictive Maintenance: Predicting Machine Failure using Sensor Data with XGBoost and Python
By using machine learning and Python, businesses can predict equipment failures before they happen and optimize their maintenance cycles.
How to Use Hierarchical Clustering For Customer Segmentation in Python
In this tutorial, we will use Python and the scikit-learn library to apply hierarchical clustering to a dataset of customer data.
Feature Engineering and Selection for Regression Models with Python and Scikit-learn
This guide provides tips on feature exploration, engineering, and selection for machine learning using Python and Scikit-Learn
Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python
Learn how to use Random Search to tune the model hyperparameters of a Random Forest with Python that predicts house sale prices.
Cluster Analysis with k-Means in Python
This tutorial presents k-mean clustering and how to perform a cluster analysis on synthetic data with Python and Scikit-Learn.
Build a High-Performing Movie Recommender System using Collaborative Filtering in Python
This article shows how to build a recommender system for movies with python. The approach used is based on collaborative filtering.
Predictive Policing: Preventing Crime in San Francisco using XGBoost and Python
This article predicts crime types in San Francisco with the XGboost classifier in Python and displays them on a crime map of SF
Mastering Multivariate Stock Market Prediction with Python: A Guide to Effective Feature Engineering Techniques
Feature engineering for multivariate time series models using the example of stock market forecasting with Python and Keras Neural Networks.
Training a Sentiment Classifier with Naive Bayes and Logistic Regression in Python
This article deals with sentiment analysis and shows how to build a sentiment classifier using logistic regression and naive Bayes in Python.
Stock Market Prediction using Multivariate Time Series and Recurrent Neural Networks in Python
This tutorial shows how to model a multivariate time series using a recurrent neural network to forecast the stock market.
Classifying Purchase Intention of Online Shoppers with Python
Learn to use logistic regression to solve two-class prediction problems in Python by classifying online shoppers' purchase intentions.
Measuring Regression Errors with Python
This tutorial presents six regression error metrics to measure model performance and shows how to implement them with Python and Scikit-learn
Rolling Time Series Forecasting: Creating a Multi-Step Prediction for a Rising Sine Curve using Neural Networks in Python
This article shows how to create a rolling multi-step forecast for a rising sine curve using Keras neural networks with lstm layers in Python
Stock Market Prediction - Adjusting Time Series Prediction Intervals in Python
This tutorial shows how to adjust prediction intervals in time series forecasting using Keras recurrent neural networks and Python.
Stock Market Prediction using Univariate Recurrent Neural Networks (RNN) with Python
This article shows how to train a univariate neural network model for stock market forecasting with Python and Scikit-learn.
Flight Delay Prediction using Azure Machine Learning
Want to learn about flight delay prediction? This tutorial develops a classifier in Azure Machine Learning that predicts flight delays.