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Welcome to Data Follower!

Machine Learning --- Clustering, Classification and Regression

Data Follower is a Machine Learning Web App with Streamlit and Python. As an Interactive ML WebApp, this app provides an easy way for nontechnical individuals to using machine learning algorithms. The process of machine learning would be broken down in the 2 steps listed below. 👋

  1. Model Training (Train a machine learning model.)

    • Gathering data : Upload structured data;
    • Data description : Variable Description & Statistics;
    • ML type : Select target and features to clean and transform data;
    • Training : Automatically train and select the optimal model through metrics;
    • Evaluation : View and Plot Evaluation Metrics;

  2. Model Application (Predictive modeling is a process that uses the well trained model to forecast outcomes.)

    • Prediction : Load the trained model to predict;
    • Checking : Load the trained model to analyse;

👈 Select a task from the dropdown on the left.

反馈与建议

感谢阅读这份文档。