Machine-Learning-for-Finance

(★ 401)

Machine Learning for Finance, published by Packt

  • .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