文件名称：机器学习：知识库仓库。 （此存储库旨在帮助对机器学习感兴趣的人）
文件大小：36.71MB
文件格式：ZIP
更新时间：2024-02-24 01:56:10
python machine-learning natural-language-processing lectures udacity
机器学习：知识库仓库。 （此存储库旨在帮助对机器学习感兴趣的人）
【文件预览】：
machine-learning-master
----08-XAI()
--------GRAD_CAM.ipynb(421KB)
--------CAM.ipynb(1.57MB)
----04-TensorFlow2.0()
--------06-gradient-tape()
--------05-auto-encoder()
--------04-transfer-learning()
--------01-삼성전자-주가예측()
--------09-LSTM()
--------11-CNN-models()
--------03-tensorboard()
--------02-gan()
--------README.md(87B)
--------07-generate-text()
--------13-chatbot()
----02-PyTorch()
--------01_Pytorch_Simple_Practice.ipynb(24KB)
----DP.xlsm(21KB)
----06-Visualization()
--------03-seaborn-tutorial.ipynb(3.87MB)
--------data()
--------02-matplotlib-tutorial.ipynb(1.86MB)
--------01-pandas-visualization-tutorial.ipynb(368KB)
----requirements.txt(3KB)
----10-scikit-learn()
--------01-최소제곱법 (Ordinary Least Squares).ipynb(101KB)
--------03-데이터셋 (Dataset) 다루기.ipynb(94KB)
--------07-로지스틱회귀(Logistic Regression)와 분류 평가 지표.ipynb(151KB)
--------05-분류 (Classifications).ipynb(93KB)
--------06-회귀 (regression).ipynb(782KB)
--------10-비지도학습 (Unsupervised Learning).ipynb(452KB)
--------02-경사하강법 (Gradient Descent).ipynb(211KB)
--------04-데이터 전처리 (Preprocessing).ipynb(371KB)
--------08-결정트리 (Decistion Tree).ipynb(261KB)
--------09-앙상블 (Ensemble).ipynb(2.69MB)
----05-Pandas()
--------03-입찰공고-데이터분석.ipynb(401KB)
--------01_10mins_to_pandas.ipynb(468KB)
--------테디노트-Pandas튜토리얼()
--------02-pandas-interpolation.ipynb(40KB)
----03-TensorFlow()
--------05_Convolution_Neural_Network_With_Mnist_Dataset.ipynb(5KB)
--------04_TensorBoard_Example.ipynb(3KB)
--------01_Simple_Linear_Regression.ipynb(3KB)
--------03_Logistic_Regression_With_Mnist_Data.ipynb(7KB)
--------README.md(1B)
--------02_Multi_Variable_Linear_Regression.ipynb(5KB)
----09-GAN()
--------hjk_style_transfer.ipynb(604KB)
----CONTRIBUTING.md(1B)
----07-RL()
--------HJK_DDPG_2.ipynb(260KB)
--------HJK_PG_AC.ipynb(14KB)
--------HJK_PG_AC_CONTINUE.ipynb(150KB)
--------HJK_PG_REINFORCE_CONTINUE.ipynb(118KB)
--------README.md(121B)
--------HJK_DQN_R1.ipynb(18KB)
--------code_review.md(45B)
--------HJK_PG_REINFORCE.ipynb(21KB)
----01-Kaggle()
--------16-Bag-of-Words-Meets-Bags-of-Popcorn()
--------08-two-sigma()
--------05-home-data-for-ml-course()
--------03-house-prices-advanced-regression-techniques()
--------06-caterpillar-tube-pricing()
--------12-salt-competition()
--------04-facial-keypoints-detector()
--------13-human-or-robot()
--------10-home-credit-default-risk()
--------14-give-me-some-credit()
--------09-bag-of-words()
--------02-bike-sharing-demand()
--------11-speech-recognition()
--------README.md(343B)
--------07-airbnb()
--------01-titanic()
--------15-walmart-sales()
----README.md(47KB)
----.all-contributorsrc(2KB)
----12-facebook-prophet()
--------01-stock-forecasting-fb-prophet.ipynb(4.43MB)
----.gitignore(2KB)
----99-Others()
--------입찰공고-데이터분석-open-version (blog version).ipynb(401KB)