machine-learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Language: python
Author: GitHub Repos (@github-repos)
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- 04-파이썬-문자열-(실습).ipynb (ipynb)
- README.md (md)
- 10-파이썬-내장함수-(해설).ipynb (ipynb)
- ld-datascience-part-01.ipynb (ipynb)
- 02-파이썬-리스트-튜플.ipynb (ipynb)
- 01-파이썬-자료구조.ipynb (ipynb)
- README.md (md)
- 02_Multi_Variable_Linear_Regression.ipynb (ipynb)
- README.md (md)
- bike_sharing_demand.ipynb (ipynb)
- 10-비지도학습-(UnsupervisedLearning)-(실습).ipynb (ipynb)
- 11-파이썬-패키지-모듈.ipynb (ipynb)
- tutorial (tutorial)
- 해설 (해설)
- 01-Kaggle (01-Kaggle)
- 01-Kaggle (01-Kaggle)
- 01-titanic (01-titanic)
- 05-home-data-for-ml-course (05-home-data-for-ml-course)
- 06-caterpillar-tube-pricing (06-caterpillar-tube-pricing)
- 11-speech-recognition (11-speech-recognition)
- 12-salt-competition (12-salt-competition)
- 13-human-or-robot (13-human-or-robot)
- 14-give-me-some-credit (14-give-me-some-credit)
- 15-walmart-sales (15-walmart-sales)
- 16-Bag-of-Words-Meets-Bags-of-Popcorn (16-Bag-of-Words-Meets-Bags-of-Popcorn)
- 02-Dacon (02-Dacon)
- 01-펭귄몸무게-예측 (01-펭귄몸무게-예측)
- 03-Utils (03-Utils)
- 02-PyTorch (02-PyTorch)
- 03-TensorFlow (03-TensorFlow)
- 01-삼성전자-주가예측 (01-삼성전자-주가예측)
- 03-tensorboard (03-tensorboard)
- 04-transfer-learning (04-transfer-learning)
- 05-auto-encoder (05-auto-encoder)
- 06-gradient-tape (06-gradient-tape)
- 07-generate-text (07-generate-text)
- 09-LSTM (09-LSTM)
- 11-CNN-models (11-CNN-models)
- 13-chatbot (13-chatbot)
- tutorial-for-beginner (tutorial-for-beginner)
- 06-Visualization (06-Visualization)
- data (data)
- tutorial (tutorial)
- 01-PlayGround (01-PlayGround)
- 05-PyCaret (05-PyCaret)
- tutorials (tutorials)
- 08-파이썬-Comprehension-(해설).ipynb (ipynb)
- requirements.txt (txt)
- 00-Python (00-Python)
- 04-파이썬-문자열.ipynb (ipynb)
- 06-파이썬-비교-논리-삼항연산자-조건문.ipynb (ipynb)
- 12-파이썬-클래스-상속.ipynb (ipynb)
- 실습 (실습)
- 06-파이썬-비교-논리-삼항연산자-조건문-(실습).ipynb (ipynb)
- 09-파이썬-함수-(실습).ipynb (ipynb)
- 07-파이썬-반복문-(해설).ipynb (ipynb)
- 04-파이썬-문자열-(해설).ipynb (ipynb)
- 07-파이썬-반복문-(실습).ipynb (ipynb)
- 09-파이썬-함수-(해설).ipynb (ipynb)
- 02-bike-sharing-demand (02-bike-sharing-demand)
- 03-house-prices-advanced-regression-techniques (03-house-prices-advanced-regression-techniques)
- 04-facial-keypoints-detector (04-facial-keypoints-detector)
- titanic-preprocessing-2.ipynb (ipynb)
- V1-initial-commit.ipynb (ipynb)
- 07-airbnb (07-airbnb)
- 08-two-sigma (08-two-sigma)
- 09-bag-of-words (09-bag-of-words)
- 10-home-credit-default-risk (10-home-credit-default-risk)
- V1-initial-commit.ipynb (ipynb)
- README.md (md)
- 00-텐서의-기초.ipynb (ipynb)
- 01-펭귄몸무게-예측-pycaret.ipynb (ipynb)
- 03-pytorch로-경사하강법-구현.ipynb (ipynb)
- 01-teddynote-optuna.ipynb (ipynb)
- 08-dnn-fashion-mnist.ipynb (ipynb)
- 09-cnn-rps.ipynb (ipynb)
- 14-GoogleNet-Inception-Module.ipynb (ipynb)
- 23-seq2seq-챗봇.ipynb (ipynb)
- 11-custom-image-loader.ipynb (ipynb)
- 12-alexnet-implementation.ipynb (ipynb)
- README.md (md)
- sample_dataset.py (py)
- 24-seq2seq-with-attention-chatbot.ipynb (ipynb)
- 17-embedding-lstm-text-classification.ipynb (ipynb)
- 04-TensorFlow2.0 (0)
- data (data)
- cats_vs_dogs-transfer.ipynb (ipynb)
- 01-LeNet-5.ipynb (ipynb)
- 01-basic-auto-encoder-MNIST.ipynb (ipynb)
- 05-Pandas (05-Pandas)
- tutorial (tutorial)
- 04-코사인유사도-주식패턴.ipynb (ipynb)
- 03-입찰공고-데이터분석.ipynb (ipynb)
- 02-pandas-파일입출력-(실습).ipynb (ipynb)
- 04-pandas-통계-(실습).ipynb (ipynb)
- 01-pandas-visualization-tutorial.ipynb (ipynb)
- 05-pandas-복제-결측치-(실습).ipynb (ipynb)
- 01-pandas-자료구조-(실습).ipynb (ipynb)
- 07-Scikit-Learn (07-Scikit-Learn)
- tutorial (tutorial)
- 01-최소제곱법-(OrdinaryLeastSquares)-(실습).ipynb (ipynb)
- 03-데이터셋-(Dataset)-다루기-(실습).ipynb (ipynb)
- 07-logistic-regression-분류-평가지표-(실습).ipynb (ipynb)
- 08-결정트리-(DecisionTree)-(실습).ipynb (ipynb)
- 08-XAI (08-XAI)
- HJK_PG_AC.ipynb (ipynb)
- HJK_DDPG_2.ipynb (ipynb)
- 09-GAN (09-GAN)
- 10-RL (10-RL)
- 11-AutoML (11-AutoML)
- HJK_PG_REINFORCE_CONTINUE.ipynb (ipynb)
- HJK_DQN_R1.ipynb (ipynb)
- GRAD_CAM.ipynb (ipynb)
- 02-Teachable-Machine (02-Teachable-Machine)
- 01-sample (01-sample)
- my_model (my_model)
- model.json (json)
- 02-app (02-app)
- labels.txt (txt)
- 03-AutoKeras (03-AutoKeras)
- tutorials (tutorials)
- README.md (md)
- 04-EDA-Visualization (04-EDA-Visualization)
- 03-Association-Rules.ipynb (ipynb)
- 00-Intro.ipynb (ipynb)
- 06-Prophet (06-Prophet)
- tutorials (tutorials)
- 07-Natural-Language-Processing (07-Natural-Language-Processing)
- 02-Regression.ipynb (ipynb)
- 01-NLP.ipynb (ipynb)
- README.md (md)
- images (images)
- README (README)
- 12-HuggingFace (12-HuggingFace)
- 13-ChatGPT (13-ChatGPT)
- 99-Misc (99-Misc)
- 01-Colab (01-Colab)
- 02-NLP (02-NLP)
- fonts-nanum.sh (sh)
- 01-chatgpt.ipynb (ipynb)
- 01-Text-Classification-Simple.ipynb (ipynb)
- 02-news-article.ipynb (ipynb)
- 03-Datasets (03-Datasets)
- ld-datascience-part-02.ipynb (ipynb)
- 08-파이썬-Comprehension-(실습).ipynb (ipynb)
- 02-파이썬-리스트-튜플-(실습).ipynb (ipynb)
- 00-Jupyter-Notebook-튜토리얼-(실습).ipynb (ipynb)
- 06-파이썬-비교-논리-삼항연산자-조건문-(해설).ipynb (ipynb)
- titanic-0.81339-FINAL.ipynb (ipynb)
- V1-initial-commit.ipynb (ipynb)
- V2-conv2d-model.ipynb (ipynb)
- V1-initial-commit.ipynb (ipynb)
- 01-텐서를-생성하는-다양한방법.ipynb (ipynb)
- 04_TensorBoard_Example.ipynb (ipynb)
- LSTM Layer.ipynb (ipynb)
- GradientTape.ipynb (ipynb)
- 07-pandas-groupby-pivottable-(실습).ipynb (ipynb)
- 06-pandas-전처리-추가-삭제-데이터변환-(실습).ipynb (ipynb)
- 03-Visualization-Matplotlib-그래프-(실습).ipynb (ipynb)
- 02-Visualization-Matplotlib-스타일-(실습).ipynb (ipynb)
- simple-pandas-tutorial-(해설).ipynb (ipynb)
- 04-Visualization-Seaborn-(실습).ipynb (ipynb)
- 06-회귀-(regression)-(실습).ipynb (ipynb)
- 04-데이터전처리-(Preprocessing)-(실습).ipynb (ipynb)
- metadata.json (json)
- requirements.txt (txt)
- titanic-preprocessing.ipynb (ipynb)
- HJK_PG_REINFORCE.ipynb (ipynb)
- 01-Classification.ipynb (ipynb)
- 03-파이썬-세트-딕셔너리-(실습).ipynb (ipynb)
- simple-pandas-tutorial-(실습).ipynb (ipynb)
- 09-pandas-titanic-실습예제-(실습).ipynb (ipynb)
- README.md (md)
- V1-initial-commit.ipynb (ipynb)
- boston_house_price.csv (csv)
- 05-파이썬-연산-(실습).ipynb (ipynb)
- V1-initial-commit.ipynb (ipynb)
- 11-파이썬-패키지-모듈-(해설).ipynb (ipynb)
- 10-transfer-learning-cats-vs-dogs.ipynb (ipynb)
- README.md (md)
- V1-initial-commit.ipynb (ipynb)
- V1-initial-commit.ipynb (ipynb)
- 06-정형데이터-예측모델생성-subclassing.ipynb (ipynb)
- 02-DCGAN-with-simpson-faces.ipynb (ipynb)
- 01-generate-shakespear.ipynb (ipynb)
- README.md (md)
- 03-파이썬-세트-딕셔너리-(해설).ipynb (ipynb)
- README.md (md)
- house_price.csv (csv)
- README.md (md)
- 07-파이썬-반복문.ipynb (ipynb)
- .all-contributorsrc (all-contributorsrc)
- README.md (md)
- 01_Simple_Linear_Regression.ipynb (ipynb)
- 00-Jupyter-Notebook-튜토리얼-(해설).ipynb (ipynb)
- V2-hyperopt.ipynb (ipynb)
- 10-파이썬-내장함수-(실습).ipynb (ipynb)
- 02-파이썬-리스트-튜플-(해설).ipynb (ipynb)
- README.md (md)
- titanic-randomforest-0.80382.ipynb (ipynb)
- V1-initial-commit.ipynb (ipynb)
- V1-initial-commit.ipynb (ipynb)
- 11-파이썬-패키지-모듈-(실습).ipynb (ipynb)
- README.md (md)
- code_review.md (md)
- 09-앙상블-(Ensemble)-(실습).ipynb (ipynb)
- 05-파이썬-연산.ipynb (ipynb)
- korean_stopword.txt (txt)
- 02-seq2seq-chatbot-attention.ipynb (ipynb)
- V1-initial-commit.ipynb (ipynb)
- README.md (md)
- 01-삼성전자-주가.csv (csv)
- 02-경사하강법-구현.ipynb (ipynb)
- CONTRIBUTING.md (md)
- 01-파이썬-자료구조-(실습).ipynb (ipynb)
- 08-파이썬-Comprehension.ipynb (ipynb)
- 03-pandas-조회-정렬-조건-필터-(실습).ipynb (ipynb)
- mecab-colab.sh (sh)
- .gitignore (gitignore)
- README.md (md)
- README.md (md)
- README.md (md)
- titanic-data-analysis-V1.ipynb (ipynb)
- V1-initial-commit.ipynb (ipynb)
- 07-torchvision-transform.ipynb (ipynb)
- 08-pandas-concat-merge-(실습).ipynb (ipynb)
- 05-파이썬-연산-(해설).ipynb (ipynb)
- 09-파이썬-함수.ipynb (ipynb)
- README.md (md)
- 01-10mins-to-pandas.ipynb (ipynb)
- README.md (md)
- 02-LSTM-stock-forecasting-with-LSTM-financedatareader.ipynb (ipynb)
- README.md (md)
- README.md (md)
- README.md (md)
- 16-torchtext-tutorial.ipynb (ipynb)
- V1-initial-commit.ipynb (ipynb)
- 02-pandas-interpolation.ipynb (ipynb)
- 03-파이썬-세트-딕셔너리.ipynb (ipynb)
- 02-삼성전자-매매동향.csv (csv)
- 04-hjk-style-transfer.ipynb (ipynb)
- app.py (py)
- ATTRIBUTION.md (markdown)
- 01-파이썬-자료구조-(해설).ipynb (ipynb)
- 04-DataSet과-DataLoader.ipynb (ipynb)
- HJK_PG_AC_CONTINUE.ipynb (ipynb)
- tfcert.py (py)
- 03_Logistic_Regression_With_Mnist_Data.ipynb (ipynb)
- README.md (md)
- 01-initial-commit.ipynb (ipynb)
- 01-seq2seq-chatbot-no-attention.ipynb (ipynb)
- 01-DataFrame-시각화-(실습).ipynb (ipynb)
- V0-Speech representation and data exploration.ipynb (ipynb)
- LSTM을_활용한_삼성전자_주가예측.ipynb (ipynb)
- 05-정형데이터-예측모델생성.ipynb (ipynb)
- README.md (md)
- README.md (md)
- 05-분류-(Classifications)-(실습).ipynb (ipynb)
- 01-Google-Image-Downloader.ipynb (ipynb)
- 02-AutoKeras-ImageClassifier-Advanced.ipynb (ipynb)
- 10-파이썬-내장함수.ipynb (ipynb)
- 05_Convolution_Neural_Network_With_Mnist_Dataset.ipynb (ipynb)
- index.html (html)
- 02-경사하강법-(Gradient-Descent)-(실습).ipynb (ipynb)
- 05-Visualization-Seaborn-통계그래프-(실습).ipynb (ipynb)
- README.md (md)
- LICENSE (LICENSE)
- 03-huggingface-bert-kor-text-classification.ipynb (ipynb)
