https://github.com/muhkartal/ml-notes

ml-notes that i took in my ai, ml and deep learning journey
https://github.com/muhkartal/ml-notes

cpp keras matplotlib numpy opencv-python pandas python pytorch sckit-learn seaborn streamlit tensorflow

Last synced: 9 days ago
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ml-notes that i took in my ai, ml and deep learning journey

• Host: GitHub
• URL: https://github.com/muhkartal/ml-notes
• Owner: muhkartal
• Created: 2024-09-26T06:48:30.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-05T11:27:12.000Z (13 days ago)
• Last Synced: 2024-11-05T12:43:12.331Z (13 days ago)
• Topics: cpp, keras, matplotlib, numpy, opencv-python, pandas, python, pytorch, sckit-learn, seaborn, streamlit, tensorflow
• Language: Jupyter Notebook
• Homepage: https://www.kartal.dev/
• Size: 5.85 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ML Notes

The machine learning (ML) notes from my AI, ML, and deep learning journey cover key topics such as supervised, unsupervised, and reinforcement learning, along with algorithms like decision trees, SVM, KNN, and logistic regression.

![alt text](images/main.png)

They also explore deep learning, including CNNs, RNNs, and advanced concepts like transfer learning and GANs. The notes highlight techniques for model evaluation, optimization (gradient descent, regularization), and best practices in data preprocessing and hyperparameter tuning. Overall, they provide a comprehensive overview of foundational and advanced ML concepts and techniques.