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lineer-regresyon

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This project predicts Titanic passenger survival using machine learning. Key features like age, fare, gender, and class were used. Data preprocessing included handling missing values, scaling, and encoding. Models such as Logistic Regression, Random Forest, and Neural Networks were trained and evaluated for performance.

  • Updated Oct 6, 2024
  • Jupyter Notebook

A concise yet detailed machine‑learning project for predicting Bitcoin prices using Python. It fetches historical Bitcoin data, engineers features (e.g. technical indicators), trains regression models, evaluates model performance, and produces future price forecasts. The repository demonstrates a full ML workflow: data preprocessing, model training

  • Updated Jan 10, 2024
  • Jupyter Notebook

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