https://github.com/tadiusfrank2001/data_mining_projects_labs_cs145

A collection of data mining course assignments to implement advanced predictive statistical analysis models
https://github.com/tadiusfrank2001/data_mining_projects_labs_cs145

algorithms data data-mining data-science deep-learning predictive-modeling python3 wide-learning

Last synced: about 1 month ago
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A collection of data mining course assignments to implement advanced predictive statistical analysis models

• Host: GitHub
• URL: https://github.com/tadiusfrank2001/data_mining_projects_labs_cs145
• Owner: tadiusfrank2001
• License: unlicense
• Created: 2024-01-24T11:22:08.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-02-11T07:28:24.000Z (over 1 year ago)
• Last Synced: 2025-02-22T20:32:40.998Z (over 1 year ago)
• Topics: algorithms, data, data-mining, data-science, deep-learning, predictive-modeling, python3, wide-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 4.31 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# CS145

Data mining is the process of discovering patterns in large data sets using techniques and tools like linear classifiers, clustering, dimension reduction, transductive learning and topic modeling from mathematics, computer science and statistics.

## Technologies Used

+`Python:`A high-level, versatile programming language that is widely used in data science, machine learning, and artificial intelligence due to its readability, simplicity, and large community support.

+`TensorFlow`: Framework for deep learning.

+`MLflow`: Manages machine learning workflows.

+`NumPy`: Supports numerical calculations.

+`Pandas`: Handles data manipulation and analysis.

+`Scikit-learn`: Machine learning algorithms and tools.

+`Keras`: User-friendly interface for building neural networks.

+`Jupyter`: an interactive computing environment, allowing users to create notebooks that integrate code, visualizations, and narrative text.