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Machine Learning Dotnet

  • 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

Sentiment Analysis

  • 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

Issue Classification

  • 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

Price Prediction

  • 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

Iris Flower Clustering

  • 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

Moive Recommendation

  • 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

Probabilistic Sample

  • This sample is for statistical models implemented by Infer.Net.

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