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This is for machine learning sample via ML.Net
machine-learning-dotnet's Introduction
- This repository is focus on machine learning sample via ML.net.
- This repository includes the following samples.
- Sentiment Anaysis
- Issue Classification
- Price Prediction
- Iris Flower Clustering
- Moive Recommendation
- Probabilistic Sample
- This sample includes the following operations.
- Prepare the data
- Load the data
- Extract features
- Train the model
- Evaluate the model
- Predict via the model
- Save the model as .zip file
- This sample includes the following operations.
- Prepare the data
- Load the data
- Extract features
- Train the model
- Evaluate the model
- Predict via the model
- Save the model as .zip file
- This sample includes the following operations.
- Prepare the data
- Load the data
- Extract features
- Train the model
- Save the model as .zip file
- Evaluate the model
- Predict via the model
- This sample includes the following operations.
- Select the appropriate machine learning - unsupervized machine learning
- Prepare the data
- Load the data
- Extract features
- Train the model
- Save the model as .zip file
- Evaluate the model
- Predict via the model
- This sample includes the following operations.
- Prepare the data
- Load the data
- Extract features
- Train the model
- Save the model as .zip file
- Evaluate the model
- Predict via the model
- Improve the model
- This sample is for statistical models implemented by Infer.Net.
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