https://github.com/drawcodeboy/first_ml_dl
<혼자 공부하는 머신러닝 + 딥러닝>을 통해 공부한 실습 자료 리포지토리입니다.
https://github.com/drawcodeboy/first_ml_dl
Last synced: 8 months ago
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<혼자 공부하는 머신러닝 + 딥러닝>을 통해 공부한 실습 자료 리포지토리입니다.
- Host: GitHub
- URL: https://github.com/drawcodeboy/first_ml_dl
- Owner: drawcodeboy
- Created: 2022-07-30T06:25:01.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-09-25T14:37:21.000Z (over 3 years ago)
- Last Synced: 2025-01-05T23:14:25.234Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 2.74 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# first_ML_DL
<혼자 공부하는 머신러닝 + 딥러닝>을 통해 공부한 실습 자료 리포지토리입니다.
>* 9.25 1회독
# File List
## Machine Learning
* 01_3: Binary Classfication using KNN
* 02_1: Train Set and Test Set Split
* 02_2: Data Preprocessing: Scaling
* 03_1: Regression using KNN
* 03_2: Linear Regression
* 03_3: Feature Engineering and Regularization
* 04_1: Multiple Regression, Logistic Regression (Sigmoid & Softmax)
* 04_2: Stochastic Gradient Descent, Loss Function, Epoch
* 05_1: Decision Tree (+ Gini Impurity)
* 05_2: Cross Validation & Grid Search
* 05_3: Tree Ensemble (Random Forest, Extra Tree, Gradient Boosting, Histogram-based Gradient Boosting)
* 06_1: Unsupervised Learning: Clustering
* 06_2: KMeans (+ Elbow using Inertia)
* 06_3: PCA(Principal Components Analysis), Dimension Reduction
## Deep Learning
* 07_1: ANN, Structure of ANN (Tensorflow and Keras)
* 07_2: DNN, relu (activation function for Image Classification), Optimizer(RMSprop, Adam, .. etc)
* 07_3: ANN Model Training (history, validation set loss, dropout, callback(ModelCheckpoint, EarlyStopping))
* 08_2: CNN Modeling (Filter, Kernel, Padding, Stride, Pooling)
* 08_3: CNN Visualization (Filter, Feature Map)
* 09_2: RNN Modeling (One-hot Encoding, Word Embedding)
* 09_3: RNN Modeling 2 (LSTM, GRU, Dropout, 2-RNN)