Enric's repositories
akshare
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
DCIC2023-Fraud-Risk-Identification
本赛题旨在运用有效的金融科技和大数据系统，分析涉赌涉诈资金交易新方式，持续优化风险监测模型，通过赛题提供的涉赌涉诈黑名单、白名单及用于训练的相关交易流水数据集，构建涉赌涉诈账户算法识别模型，全面排查存量风险。A榜排名11/1594，B榜排名13/1594。
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
faker_credit_score
Credit Score Provider for the Faker Python Project. Use this to generate fake but realistic-looking consumer credit scores aligning to the most prevalent risk models (FICO, VantageScore, etc.)
feature_engine
Feature engineering package with sklearn like functionality
featuretools
An open source python library for automated feature engineering
fico
Reverse engineering of the FICO algorithm
fraud-detection-handbook
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
interpretable-ml-book
Book about interpretable machine learning
joyful-pandas
pandas中文教程
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LogisticRegressionPipeline
分别基于statsmodels和scikit-learn实现两种可用于sklearn pipeline的 LogisticRegression，并输出相应的报告
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
MonotonicOptimalBinning
This project mainly implements the Monotonic Optimal Binning(MOB) algorithm in SAS 9.4. We extend the application of this algorithm which can be applied to numerical and categorical data. In order to avoid the problem of creating too many bins, we optimize the p-value iteratively and provide bins size first binning, monotonicity first binning, and
PRIM
Patient Rule Induction Method (PRIM) for Python
prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
puncc
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
pylift
Uplift modeling package.
quarkml
风控算法，特征工程，模型工程，分布式，树模型
risk_control_model_tools
一个用于风控建模的仓库QaQ
skope-rules
machine learning with logical rules in Python
The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
tsfresh
Automatic extraction of relevant features from time series:
woe-monotonic-binning
Optimal binning algorithm and function to apply on a pandas DataFrame