Pinned Repositories
Barra_model
test pycharm upload code
BarraStep
Classification
最大似然估计,平滑核函数,朴素贝叶斯,最近邻决策
CNE5_Factors
cne5_factors-1
covid-19-the-economist-global-excess-deaths-model
The Economist's model to estimate excess deaths to the covid-19 pandemic
dayu-factor
量化实习因子代码
fantastic-matplotlib
Matplotlib中文教程,在线阅读地址:https://datawhalechina.github.io/fantastic-matplotlib/
Load_Boston
使用正规方程、梯度下降和岭回归分别进行波士顿房价预测实践
Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
kitkitkit745's Repositories
kitkitkit745/Barra_model
test pycharm upload code
kitkitkit745/BarraStep
kitkitkit745/Classification
最大似然估计,平滑核函数,朴素贝叶斯,最近邻决策
kitkitkit745/CNE5_Factors
kitkitkit745/cne5_factors-1
kitkitkit745/covid-19-the-economist-global-excess-deaths-model
The Economist's model to estimate excess deaths to the covid-19 pandemic
kitkitkit745/dayu-factor
量化实习因子代码
kitkitkit745/fantastic-matplotlib
Matplotlib中文教程,在线阅读地址:https://datawhalechina.github.io/fantastic-matplotlib/
kitkitkit745/Load_Boston
使用正规方程、梯度下降和岭回归分别进行波士顿房价预测实践
kitkitkit745/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
kitkitkit745/machinLearningProject
学习吴恩达视频,完成一个小project。使用梯度下降、正则化、神经网络进行房价的预测。使用python中的numpy、scipy、pandas以及matplotlib完成编程的实现。
kitkitkit745/MLTemplate
机器学习(Machine Learning, ML)python简洁实现,包括混合高斯模型,KMeans,决策树,随机森林,K近邻,线性判别分析,逻辑斯蒂回归(梯度下降法,牛顿法),多层感知机(分类+回归),Naive Bayes(离散+高斯),多分类SVM,线性回归,隐马尔可夫模型(包括前向算法,后向算法,Viterbi算法和BaumWelch算法),主成分分析等模型
kitkitkit745/Stocks-Crisis-Estimation-by-Hidden-Markov-Model
This project tried to fit stocks historical returns into Hidden Markov Gaussian Mixture Models so that we can estimate market's rare event probability