zlxy9892/ml_code
A repository for recording the machine learning code
This collection of code helps machine learning practitioners understand and implement foundational algorithms from scratch, as well as leverage popular libraries like scikit-learn and TensorFlow. It provides runnable examples for common tasks like image recognition, text classification, and data clustering, giving you practical insights into how these techniques work. This is designed for data scientists, machine learning engineers, and researchers looking to deepen their understanding and apply various ML models.
No commits in the last 6 months.
Use this if you are a machine learning practitioner looking for practical, executable examples of core ML algorithms and their applications.
Not ideal if you are a non-technical user seeking a ready-to-use application or a fully managed service.
Stars
95
Forks
58
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 25, 2022
Commits (30d)
0
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