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10-steps-to-become-a-data-scientist
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
ChatGLM-webui
A WebUI for ChatGLM-6B
cs229t
Statistical Learning Theory (CS229T) Lecture Notes
kxy-python
A toolkit to boost the productivity of machine learning engineers.
pytest
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
textflint
Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Tips-of-Feature-engineering
A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!
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