Building "Chat with your Data" Apps using Embeddings, ChatGPT, and Cosmos DB for Mongo DB vCore
Use OpenAI to enable users to chat with your business data by learning how to build a custom ChatGPT using Cosmos Mongo DB vCore and Python.
Data Science
16 tutorials
Using Fairlearn to Build Fair Machine Machine Learning Models with Python: Step-by-Step Towards More Responsible AI
Move towards responsible AI by using FairLearn, an open-source Python package for assessing and mitigating unfairness in machine learning.
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.
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.
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.
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.
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 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.