Building a Conversational Voice Bot with Azure OpenAI and Python: The Future of Human and Machine Interaction
Learn how to build a conversational voice bot in Python with the latest models from Azure OpenAI and Azure AI Spech Services.
Python
36 tutorials
Generating Detailed Images with OpenAI DALL-E and ChatGPT in Python: A Step-By-Step API Tutorial
In this step-by-step tutorial, we show how to generate detailed OpenAI DALL-E prompts using ChatGPT in Python.
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.
Univariate Stock Market Forecasting using Facebook Prophet in Python
This tutorial gives an overview of Facebook Prophet and shows how to use the framework in Python to create a univariate time series forecast.
On-Chain Analytics: Metrics for Analyzing Blockchains in Python
This article combines blockchain data and historic crypto prices from CryptoCompare in a comprehensive on-chain analysis using Python.
Using Pandas DataReader to Access Online Data Sources in Python
The Python library Pandas is a useful package that makes it easy to access a variety of popular data sources on the Internet.
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
Create a Personalized Movie Recommendation Engine using Content-based Filtering in Python
This article shows how to employ a bag of words model and cosine similarities to create a content-based movie recommender with Python.
Unveiling Hidden Patterns in the Cryptocurrency Market with Affinity Propagation and Python
This tutorial shows how to use affinity propagation to analyze asset clusters in the crypto market using Python.
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.
Leveraging Distributed Computing for Weather Analytics with PySpark
This tutorial teaches the basics of Big Data analytics with Pyspark, based on the ingestion, processing, and analysis of Zurich weather data.
Stock Market Forecasting Neural Networks for Multi-Output Regression in Python
This tutorial develops a multi-output regression model in Python that generates a multi-day stock market forecast for the S&P500
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.
Multivariate Anomaly Detection on Time-Series Data in Python: Using Isolation Forests to Detect Credit Card Fraud
This article describes multivariate anomaly detection in the example of credit card fraud using Random Isolation Forests in Python
Automate Crypto Trading with a Python-Powered Twitter Bot and Gate.io Signals
In this article, we will create a Twitter signal bot in Python that analyzes crypto prices for notable events and notifies users on Twitter.
Requesting Crypto Price Data from the Gate.io REST API in Python
The Gate.io API provides access to market prices of a variety of cryptocurrencies. Learn to retrieve price data via the API using Python.
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
Forecasting Beer Sales with ARIMA in Python
This Python tutorial shows how to use Auto-ARIMA for time series forecasting using the example of forecasting beer sales.
Color-Coded Cryptocurrency Price Charts in Python
Create color-coded cryptocurrency price charts with Python to visualize the lag between price points and the bitcoin halving.
Streaming Tweets and Images via the Twitter API in Python
Discover how you can use the twitter API to access tweets and images from twitter with Python and use them in your data science project.
Image Classification with Convolutional Neural Networks - Classifying Cats and Dogs in Python
Learn about image classification with deep learning and develop a convolutional neural network that distinguishes between cats and dogs!
Customer Churn Prediction - Understanding Models with Feature Permutation Importance using Python
This tutorial shows how to build a customer churn prediction model in telecommunications. We will use Python and measure feature importance.
Tuning Model Hyperparameters with Grid Search at the Example of Training a Random Forest Classifier in Python
Learn how to tune the model hyperparameters of a Random Forest that predicts the survival of Titanic passengers using grid search in Python.
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
Geographic Heat Maps with GeoPandas: Visualizing COVID-19 Data in Python
Geographic heat maps are powerful to visualize spatial data. Learn to use heat maps with Python and GeoPandas to visualize COVID-19 data
Correlation Matrix in Python: How Correlated are COVID-19 Cases and Different Financial Assets?
COVID-19 has had a strong impact on the global stock market. We can measure this influence with a stock market correlation matrix 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.
Accessing Remote Data Sources via REST APIs in Python
This article shows how to access remote data sources via REST APIs in Python. Two examples are given: Using Pandas Webreader and Requests.
Getting Started with the Anaconda Python Environment for Machine Learning
Get started with Python Machine Learning and set up the Anaconda Python Environment and Python packages, incl. Jupyter Notebooks.