文件名称：TIL：코드를기록하는
文件大小：2.94MB
文件格式：ZIP
更新时间：2024-03-04 08:09:04
JupyterNotebook
Study_pratice 使用R和Python的练习库
【文件预览】：
TIL-main
----statical_analysis()
--------scheffe.r(5KB)
--------LogisticRegression.R(4KB)
--------Boston_lm.R(10KB)
--------t-test.Rmd(3KB)
--------README.md(4KB)
----DeepLearning()
--------LSTM Basic Model.py(3KB)
--------tensorflow_basic.py(811B)
--------AutoEncoder.ipynb(1.14MB)
--------GAN_MNIST.ipynb(14KB)
--------Tensorflow_RNN_EarlyStopping.ipynb(81KB)
----Machine_learning()
--------DecisioinTree.ipynb(1.86MB)
--------SVM.py(1KB)
--------OCSVM.R(1KB)
--------Regression.ipynb(12KB)
--------README.md(14KB)
--------PCA.ipynb(19KB)
--------PCA.R(2KB)
----timeseries_analysis()
--------ARIMA.R(3KB)
--------ts_pratice(평활법).R(3KB)
--------README.md(2KB)
----data_collection()
--------openapi()
--------README.md(945B)
--------webcrawling()
----SQL()
--------[Project]bicycle_sharing_analysis.ipynb(338KB)
----unstructured data_analysis()
--------peak찾기.r(4KB)
--------activity_sensor_data_analysis.R(10KB)
--------tidyverse_package_pratice.r(3KB)
--------spectrum 분석.r(689B)
--------signal_feature_extract.r(4KB)
--------peak특질추출(2).r(2KB)
----dacon_study()
--------1주차_반도체 박막 두께 분석.ipynb(342KB)
--------3주차_Feature_engineering.ipynb(22KB)
--------2주차_dnn.ipynb(202KB)
--------3주차_dnn.ipynb(612KB)
--------2주차_ML.ipynb(12KB)
----README.md(57B)