Sharing my ML learning repo — NumPy to Transformers, 5 months, daily commits, all notebooks public. [D]
A developer has shared their machine learning learning repository, which covers a comprehensive range of topics from NumPy to Transformers. This repository, developed over five months with daily commits, includes notebooks on classical ML (scikit-learn, XGBoost), deep learning (TensorFlow/Keras for ANN, CNN, RNN, LSTM), data manipulation (Numpy & Pandas), data visualization, NLP fundamentals, statistics, and SQL. All notebooks are publicly available, and feedback is welcomed.
时间与来源
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发布当时偏移：UTC+02026年9月19日 12:54 UTC
收录当时偏移：UTC+02026年9月19日 16:00 UTC
- 发布
- 2026年9月19日 12:54
- 收录
- 2026年9月19日 16:00
- 来源类型
- 开发者社区
- 档位
- 社区
- 信源状态
- 正常
档位是按信源手工设定的编辑判断，不是逐条打分。
Sharing my ML learning repo — NumPy to Transformers, 5 months, daily commits, all notebooks public.
Covers the full stack: - Classical ML (scikit-learn, XGBoost) - Deep Learning (TensorFlow/Keras — ANN, CNN, RNN, LSTM) - Numpy & Pandas - Data Visualization - NLP fundamentals - Statistics and SQL
github.com/gyr0byte/ML-Foundations
Hope this is useful to someone starting their ML journey.
Star it if it helps. Feedback welcome. 🙏