Machine-Learning-for-Finance
Machine Learning for Finance, published by Packt
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최종 버전 다운로드 (.zip)- .gitignore
- 1 A neural network from scratch & Intro to Keras.ipynb
- 1 Excel Exercise.xlsx
- 2 structured data.ipynb
- 3.1 MNIST.ipynb
- 3.2 Plant Classification.ipynb
- 4.1 EDA & Classic methods.ipynb
- 4.2 NN on time series.ipynb
- 4.3 Bayesian Deep Learning.ipynb
- 5.1 Analyzing the news.ipynb
- 5.2 Classifying Tweets.ipynb
- 5.3 Topic Modeling.ipynb
- 5.4 Translation.ipynb
- 6.1 MNIST examples.ipynb
- 6.2 Fraud examples.ipynb
- 6.3 MNIST DCGAN.ipynb
- 6.4 SGAN.ipynb
- 7.1 Q-Learning.ipynb
- 7.2 A2C Balance.ipynb
- 7.3 A2C Trading.ipynb
- 8.1 Unit Testing Data.ipynb
- 8.2 Hyperopt.ipynb
- 8.3 Tensorboard debugging.py
- 8.4 LR_Search.ipynb
- 8.5 Tensorboard.ipynb
- 8.6 TF Estimator.ipynb
- 8_7_cython_setup.py
- 9.1_parity.xlsx
- 9.2_Learning_to_be_fair.ipynb
- 9.3_SHAP.ipynb
- cython_fib_8_7.pyx
- Introduction.ipynb
- LICENSE
- Markov Monte Carlo.ipynb
- PYMC3.ipynb
- README.md
// repository documentation
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