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preprocessing-data

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This project develops an activity recognition model for a mobile fitness app using statistical analysis and machine learning. By processing smartphone sensor data, it extracts features to train models that accurately recognize user activities.

  • Updated Aug 6, 2024
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450h Data Scientist training - Collect and store large amounts of data - Build prediction models in Machine Learning and Deep Learning - Deploy your models in real conditions

  • Updated Aug 6, 2024
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This repository hosts Python code that utilizes the Scikit-learn preprocessing API for data preprocessing. The code presents a comprehensive range of tools that handle missing data, scale data, encode categorical variables, and perform other functions.

  • Updated Jul 2, 2024
  • Jupyter Notebook

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