IPython_notebooks
Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more.
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Download Latest Version (.zip)- A JumpDiffusion class for simulation-checkpoint.ipynb
- Algorithmic Problems in Python-checkpoint.ipynb
- Algorithmic Problems in Python3-checkpoint.ipynb
- Asian Option valuation with MC and Control Variate-checkpoint.ipynb
- Convex Optimization and Quadratic Smoothing Example-checkpoint.ipynb
- Crack Nicholson method-checkpoint.ipynb
- Decorators, Closures and Wrappers-checkpoint.ipynb
- Doing Science with Python-checkpoint.ipynb
- Doing Statistics with Python-checkpoint.ipynb
- EM_Algorithm-checkpoint.ipynb
- European Option Class in Python-checkpoint.ipynb
- Examples Reactive Programming-checkpoint.ipynb
- HPC Cython vs Multiprocessing-checkpoint.ipynb
- Iterables, Generetors and Yield in Python-checkpoint.ipynb
- K-Means without Scikit-Learn-checkpoint.ipynb
- Least Square Monte Carlo Implementation in a Python Class-checkpoint.ipynb
- Market Risk and VaR Estimation Methodologies-checkpoint.ipynb
- MongoDB, Numpy and Scikit-learn-checkpoint.ipynb
- Multiprocessing MonteCarlo Simulation-checkpoint.ipynb
- Multivariate Outliers-checkpoint.ipynb
- Parallel Computing with IPython-checkpoint.ipynb
- Parallel_tutorial-checkpoint.ipynb
- PCA with BigData-checkpoint.ipynb
- Spread Options-checkpoint.ipynb
- SQL queries from Python-checkpoint.ipynb
- Two_Factor_Model-SimpleVersion-checkpoint.ipynb
- Untitled1-checkpoint.ipynb
- Web Scrapping -checkpoint.ipynb
- Web-scrapping NASA Astronomy Picture-checkpoint.ipynb
- Working with Excel from Python-checkpoint.ipynb
- .DS_Store
- .gitignore
- A JumpDiffusion class for simulation.ipynb
- ai1_jesus_colino.pdf
- Algorithmic Problems in Python.ipynb
- Algorithmic Problems in Python3.ipynb
- Asian Option valuation with MC and Control Variate.ipynb
- Auto-ML Unsupervised.ipynb
- Automatic Machine Learning.ipynb
- Classification Metrics with SVM.ipynb
- Convex Optimization and Quadratic Smoothing Example.ipynb
- Cross-Validation in SVM.ipynb
- Decorators, Closures and Wrappers.ipynb
- Deep_Q_Learning_Network.ipynb
- Doing Science with Python.ipynb
- Doing Science with Python.pdf
- Doing Statistics with Python.ipynb
- EM_Algorithm.ipynb
- European Option Class in Python.ipynb
- Examples Reactive Programming.ipynb
- Generative_Models_Autoencoders_and_GANs.ipynb
- HPC Cython vs Multiprocessing.ipynb
- Iterables, Generetors and Yield in Python.ipynb
- K-Means without Scikit-Learn.ipynb
- Least Square Monte Carlo Implementation in a Python Class.ipynb
- LICENSE
- Market Risk and VaR Estimation Methodologies.ipynb
- MongoDB, Numpy and Scikit-learn.ipynb
- Multiprocessing MonteCarlo Simulation.ipynb
- Multivariate Outliers.ipynb
- PCA with BigData.ipynb
- playing_with_pandas.ipynb
- Reactive Programming presentation.pdf
- README.md
- Regression Techniques with BigData.ipynb
- RNN_LSTM_GRU_for_Hedge_Funds _flows.ipynb
- Scikit-Learn_Examples.ipynb
- Spread Options.ipynb
- SQL queries from Python.ipynb
- SQLite Notebook.ipynb
- Swing options valuation with jumps.pdf
- The 3 by 3 Puzzle Problem.ipynb
- Time-Series Analysis and Volatility Forecast.ipynb
- Two_Factor_Model-SimpleVersion.ipynb
- Web Scrapping .ipynb
- Web-scrapping NASA Astronomy Picture.ipynb
- Working with Excel from Python.ipynb
// repository documentation
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