Financial-Models-Numerical-Methods
F1_Quali_Prediction
| Financial-Models-Numerical-Methods | F1_Quali_Prediction | |
|---|---|---|
| 3 | 1 | |
| 5,267 | 8 | |
| - | - | |
| 6.2 | 0.0 | |
| 2 months ago | about 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU Affero General Public License v3.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Financial-Models-Numerical-Methods
-
Pricing models - which do MMs use these days
If you have experience with Python, here is a great repo: https://github.com/cantaro86/Financial-Models-Numerical-Methods If you don't know Python, I suggest you learn. It's one of the easier languages to learn. The course below will teach you everything you need to get started. https://www.youtube.com/watch?v=rfscVS0vtbw
-
Ask HN: Best Resources on (Computational) Finance
I found this collection of Jupyter notebooks really well done. Some basic knowledge in stochastic calculus, financial mathematics and statistics is needed.
https://github.com/cantaro86/Financial-Models-Numerical-Meth...
- Classical portfolio optimization in a Python notebook
F1_Quali_Prediction
-
Interpretable F1 Quali Predictions
So, here is the github link: https://github.com/DerHefi/F1_Quali_Prediction
What are some alternatives?
machine_learning_basics - Plain python implementations of basic machine learning algorithms
learnopencv - Learn OpenCV : C++ and Python Examples
rmi - A learned index structure
Car-Price-Prediction - A machine learning project that predicts the price of used cars in the UK
Quantsbin - Quantitative Finance tools
Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
score_sde - Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
hca-resources - zipline-broker Examples. Full notebooks plus python code for long term investment strategies using zipline based tools.
mlscorecheck - Testing the consistency of binary classification performance scores reported in papers