Product Information
ML.NET is a free software machine learning library for the C# and F# programming languages. It also supports Python models when used together with NimbusML
Sentiment analysis
Analyze the sentiment of customer reviews using a binary classification algorithm.
Product recommendation
Recommend products based on purchase history using a matrix factorization algorithm.
Price prediction
Predict taxi fares based on parameters such as distance traveled using a regression algorithm.
Customer segmentation
Identify groups of customers with similar profiles using a clustering algorithm.
Object detection
Recognize objects in an image using an ONNX deep learning model.
Fraud detection
Detect fraudulent credit card transactions using a binary classification algorithm.
Sales spike detection
Detect spikes and changes in product sales using an anomaly detection model.
Image classification
Classify images (for example, broccoli vs. pizza) using a TensorFlow deep learning model.
Sales forecasting
Forecast future sales for products using a regression algorithm.
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