使用数学和计算机知识投机倒把

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Overview

偷鸡不成项目集锦

坦率地讲，涉及金融市场的好策略如果公开，必然导致使用的人多，最后策略变差。所以这个仓库只收集我目前失败了的案例。

我赚不上钱的项目，也许可以帮助更有能力的人去赚钱。

如果以上经验对您有所启发，欢迎点 star 让更多人看到，或通过以下方式向我打赏。谢谢！

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Roy
Roy
GitHub Repository
Credit Card Fraud Detection, used the credit card fraud dataset from Kaggle

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A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

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Predicting Baseball Metric Clusters: Clustering Application in Python Using scikit-learn

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(3D): LeGO-LOAM, LIO-SAM, and LVI-SAM installation and application

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Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets

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Predicting diabetes over a five year period using logistic regression and the Pima First-Nation dataset

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Code for the TCAV ML interpretability project

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Iris species predictor app is used to classify iris species created using python's scikit-learn, fastapi, numpy and joblib packages.

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Siva Prakash 5 Apr 05, 2022
A quick reference guide to the most commonly used patterns and functions in PySpark SQL

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Distributed Evolutionary Algorithms in Python

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It is a forest of random projection trees

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ANNchor is a python library which constructs approximate k-nearest neighbour graphs for slow metrics.

Fast k-NN graph construction for slow metrics

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Generate music from midi files using BPE and markov model

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An AutoML survey focusing on practical systems.

This project is a community effort in constructing and maintaining an up-to-date beginner-friendly introduction to AutoML, focusing on practical systems. AutoML is a big field, and continues to grow

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