| greyhatguy007/Machine-Learning-Specialization-Coursera |
2,082 |
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0 |
0 |
over 2 years ago |
0 |
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16 |
mit |
Jupyter Notebook |
| Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG |
| pkmital/CADL |
1,455 |
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0 |
0 |
almost 7 years ago |
0 |
|
23 |
apache-2.0 |
Jupyter Notebook |
| Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL |
| demidovakatya/vvedenie-mashinnoe-obuchenie |
1,187 |
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0 |
0 |
almost 7 years ago |
0 |
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6 |
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| :memo: Подборка ресурсов по машинному обучению |
| liuyubobobo/Play-with-Machine-Learning-Algorithms |
1,164 |
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0 |
0 |
over 3 years ago |
0 |
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1 |
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Jupyter Notebook |
| Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。 |
| INRIA/scikit-learn-mooc |
963 |
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0 |
0 |
about 2 years ago |
0 |
|
40 |
cc-by-4.0 |
Jupyter Notebook |
| Machine learning in Python with scikit-learn MOOC |
| MemorialCheng/deep-learning-from-scratch |
590 |
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0 |
0 |
over 4 years ago |
0 |
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2 |
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Jupyter Notebook |
| 《深度学习入门-基于Python的理论与实现》,包含源代码和高清PDF(带书签);慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》;《菜菜的机器学习sklearn》 |
| MrinmoiHossain/Online-Courses-Learning |
318 |
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0 |
0 |
about 3 years ago |
0 |
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2 |
mit |
JavaScript |
| Contains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics provided by Coursera, Udacity, Linkedin Learning, Udemy and edX. |
| Santara/ML-MOOC-NPTEL |
174 |
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0 |
0 |
over 3 years ago |
0 |
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2 |
gpl-3.0 |
Jupyter Notebook |
| This repository contains the Tutorials for the NPTEL MOOC on Machine Learning. |
| faridcher/ml-course |
168 |
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0 |
0 |
about 2 years ago |
0 |
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0 |
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R |
| Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language |
| qosf/qml-mooc |
158 |
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0 |
0 |
about 5 years ago |
0 |
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1 |
other |
Jupyter Notebook |
| Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019 |