machine-learning-master.zip （93个子文件） 
machine-learning-master 08-XAI 
GRAD_CAM.ipynb 421KB CAM.ipynb 1.57MB 04-TensorFlow2.0 06-gradient-tape GradientTape.ipynb 10KB 05-auto-encoder 01-basic-auto-encoder-MNIST.ipynb 532KB 04-transfer-learning cats_vs_dogs-transfer.ipynb 128KB 01-삼성전자-주가예측 LSTM을_활용한_삼성전자_주가예측.ipynb 376KB 02-LSTM-stock-forecasting-with-LSTM-financedatareader.ipynb 298KB data 02-삼성전자-매매동향.csv 469KB 01-삼성전자-주가.csv 343KB 09-LSTM LSTM Layer.ipynb 23KB 11-CNN-models 01-LeNet-5.ipynb 105KB 03-tensorboard TensorBoard_사용법.ipynb 10.22MB 02-gan 01-VanillaGAN-MNIST-Tutorial.ipynb 3.76MB DCGAN-mnist.ipynb 348KB 02-DCGAN-with-simpson-faces DCGAN-with-simpson-faces.ipynb 15KB 02-DCGAN-MNIST-Tutorial.ipynb 1.13MB vanila-gan-mnist.ipynb 510KB 03-pix2pix-TF-Tutorial.ipynb 3.61MB README.md 87B 07-generate-text 01-generate-shakespear.ipynb 25KB 13-chatbot 01-seq2seq-chatbot-no-attention.ipynb 87KB 02-seq2seq-chatbot-attention.ipynb 56KB 02-PyTorch 01_Pytorch_Simple_Practice.ipynb 24KB DP.xlsm 21KB 06-Visualization 03-seaborn-tutorial.ipynb 3.87MB data house_price.csv 128KB 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 01-pandas-자료구조.ipynb 93KB 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 01-initial-commit.ipynb 73KB 08-two-sigma V1-initial-commit.ipynb 23KB 05-home-data-for-ml-course V1-initial-commit.ipynb 551KB 03-house-prices-advanced-regression-techniques V2-hyperopt.ipynb 541KB V1-initial-commit.ipynb 539KB 06-caterpillar-tube-pricing V1-initial-commit.ipynb 103KB 12-salt-competition V1-initial-commit.ipynb 26KB 04-facial-keypoints-detector V1-initial-commit.ipynb 143KB data kaggle_facial_keypoints_detector_train_identity.csv 21KB kaggle_facial_keypoints_detector_train.csv 33.68MB kaggle_facial_keypoints_detector_test.csv 10.26MB 13-human-or-robot V1-initial-commit.ipynb 476KB 10-home-credit-default-risk V1-initial-commit.ipynb 515KB 14-give-me-some-credit V1-initial-commit.ipynb 14KB 09-bag-of-words V1-initial-commit.ipynb 51KB 02-bike-sharing-demand bike_sharing_demand.ipynb 117KB 11-speech-recognition V0-Speech representation and data exploration.ipynb 41KB V2-conv2d-model.ipynb 90KB V1-initial-commit.ipynb 59KB README.md 343B 07-airbnb V1-initial-commit.ipynb 82KB 01-titanic titanic-randomforest-0.80382.ipynb 22KB ld-datascience-part-01.ipynb 26KB titanic-preprocessing-2.ipynb 48KB ld-datascience-part-02.ipynb 34KB titanic-preprocessing.ipynb 49KB titanic-0.81339-FINAL.ipynb 27KB titanic-data-analysis-V1.ipynb 105KB 15-walmart-sales V1-initial-commit.ipynb 51KB 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资源评论
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