duanyun6

duanyun6's Stars

• susanli2016/Machine-Learning-with-Python

  Python code for common Machine Learning Algorithms

  Language:Jupyter Notebook4.4k269374.8k

• YouChouNoBB/ijcai-18-top2-single-mole-solution

  复赛第二名单模型方案，没有特征选择没有调参LGB单模型857个特征

  Language:Python6832010226

• lars76/kmeans-anchor-boxes

  k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

  Language:Python5311121197

• facebookarchive/fbpca

  Fast Randomized PCA/SVD

  Language:Python49031494

• andyzsf/TuShare

  TuShare是实现对股票/期货等金融数据从数据采集、清洗加工 到 数据存储过程的工具，满足金融量化分析师和学习数据分析的人在数据获取方面的需求，它的特点是数据覆盖范围广，接口调用简单,响应快速。

  Language:Python442565142

• machenslab/dPCA

  An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

  Language:Jupyter Notebook281263395

• byukan/Marketing-Data-Science

  Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

  Language:Jupyter Notebook278161110

• plouto-quants/FBDQA-2019A

  金融大数据量化分析

  Language:Jupyter Notebook21815253

• jm199504/Financial-Time-Series

  金融时间序列（预测分析 / 相似度 / 数据处理）

  Language:Jupyter Notebook2062160

• SSaishruthi/LogisticRegression_Vectorized_Implementation

  Language:Jupyter Notebook18580175

• itsmuriuki/FIFA-2018-World-cup-predictions

  I used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.

  Language:Jupyter Notebook165172131

• massquantity/Kaggle-HousePrices

  Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

  Language:Jupyter Notebook1589181

• VITA-Group/Deep-K-Means-pytorch

  [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

  Language:Python15114336

• 0011001011/vizuka

  Explore high-dimensional datasets and how your algo handles specific regions.

  Language:Python108206

• bettenW/2018-iFLYTEK-Marketing-Algorithms-Competition-Finals-Rank1

  2018科大讯飞营销算法大赛（冠军方案）

  Language:Python923146

• llSourcell/logistic_regression

  This is the code for "Logistic Regression" By Siraj Raval on Youtube

  Language:Jupyter Notebook855150

• NagabhushanS/Machine-Learning-Based-Botnet-Detection

  Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffic flows. It involves various classifiers including Neural Networks, Decision Tree, SVM, Naive Bayes, Logistic Regression, k-Nearest Neighbours.

  Language:Python663335

• jackmaney/k-means-plus-plus-pandas

  An implementation of the k-means++ clustering algorithm using Pandas

  Language:Python645315

• weidongcao/huanLing

  利用大数据与人工智能分析预测金融市场

  Language:Jupyter Notebook623112

• zygmuntz/the-secret-of-the-big-guys

  k-means + a linear model = good results

  Language:Python559019

• chenkehua/pythonscience

  由机械工业出版社出版的python金融大数据分析，python学习手册三本经典书籍以及利用python进行数据分析机器代码。

  Language:Jupyter Notebook492022

• gdnyfcuso/GuGu

  GuGu是适用于量化工程及金融/投资领域数据分析的开源项目，通过对互联网上的公开数据进行采集、清洗和存储，完成了对股票/债券/基金等金融数据的统一调用和分析。其优点是速度快、可定制及高度的可复用性。您不仅可以将其作为单独的数据接口使用，还可以将其集成在您的项目中作为数据获取api进行调用。

  Language:Python488018

• analyticalmonk/KMeans_elbow

  Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

  Language:Jupyter Notebook414021

• YinChao126/anack

  本项目致力于开发各种金融数据处理小工具，以实现基本面分析并提供投资建议

  Language:Python417025

• zhangluustb/financial_fraud_detection.ipynb

  公开课--Python数据分析之金融欺诈行为检测

  Language:Jupyter Notebook365046

• mysticbinary/FinancialStockLibrary

  这个是金融数据分析的功能库，专门为股票历史行情回测、量化分析编写。

  Language:Python162015

• ybNero/Python-FinancialDataAnalysis-PKUJohnson

  notebooks by learning 'python金融数据分析' in videos from bilibili.

  Language:Jupyter Notebook12202

• bigzhao/Kuaishou_2018_rank20th

  2018**高校计算机大赛——大数据挑战赛 Rank 20th 代码

  Language:Python9203

• Rukh/RC6

  RC6 - (Rivest cipher 6) is a symmetric key block cipher.

  Language:Python33

• duanyun6/FIFA-2018-World-cup-predictions

  I used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.

  Language:Jupyter Notebook1100