Nina201803

Pinned Repositories

applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
Language:TeX1 1 00
Awesome-RSPapers
Recommender System Papers
10
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
10
Exploratory_Data_Analysis-Wine_Quality_Dataset
read my blog @ https://medium.com/@theprasadpatil/exploratory-data-analysis-8fc1cb20fd15
Language:Jupyter Notebook10
Grad-IO
Graduate Empirical Industrial Organization
Language:TeX10
Guide2EconRA
Language:HTML10
R-programming-with-applications-to-financial-quantitive-analysis
The code for the book 《R programming with applications to financial quantitive analysis》
Language:R10
RecSysDatasets
This is a repository of public data sources for Recommender Systems (RS).
Language:Python10
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
10
ydata-profiling
Create HTML profiling reports from pandas DataFrame objects
Language:Python10

Nina201803's Repositories

Nina201803/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
Language:TeX1 1 00
Nina201803/Awesome-RSPapers
Recommender System Papers
10
Nina201803/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
10
Nina201803/Grad-IO
Graduate Empirical Industrial Organization
Language:TeX10
Nina201803/Guide2EconRA
Language:HTML10
Nina201803/RecSysDatasets
This is a repository of public data sources for Recommender Systems (RS).
Language:Python10
Nina201803/ydata-profiling
Create HTML profiling reports from pandas DataFrame objects
Language:Python10
Nina201803/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
Nina201803/awesome-causality-algorithms
An index of algorithms for learning causality with data
Nina201803/awesome-public-datasets
A topic-centric list of HQ open datasets.
1 0
Nina201803/Developer-Books
编程开发相关书籍整理分享，持续更新...
Nina201803/Econ-Data-Notes
Nina201803/GaryChamberlainLectureNotes
Nina201803/gautamrao.github.io
personal website
Nina201803/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Nina201803/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Nina201803/hugo-PaperMod
A fast, clean, responsive Hugo theme.
Nina201803/MCMC
Markov Chain Monte Carlo using Metropolis Algorithm
Nina201803/MDP-DP-RL
Markov Decision Processes, Dynamic Programming and Reinforcement Learning
Nina201803/mkt-615
PhD Seminar Fall 2021
Nina201803/ml
Machine Learning Projects and Learning Content
Language:Jupyter Notebook1 0
Nina201803/mostly-harmless-replication
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
Nina201803/Paper_CausalInference_abtest
因果推理&AB实验相关论文小书库
Nina201803/public
2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in Supply Chain Management, 14)
Nina201803/recommenders
Best Practices on Recommendation Systems
Nina201803/Replication-Study-of-Difference-in-Differences-Method-in-Econometrics
Replicate and analyze some results in Card, D. and A. B. Krueger (1994), "Minimum Wages and Employment: A Case Study of the Fast- Food Industry in New Jersey and Pennsylvania." American Economic Review (1994,, vol. 84: 772-793)
Nina201803/TAmaterials
This repository includes materials I prepared for courses in quantitative research methods. These courses were targeted mainly to graduate students with wide ranging backgrounds in statistics and quantitative methods.
Nina201803/test
test of use git
Nina201803/tianchi-MachineLearning
【完整代码】阿里云天池大赛赛题解析——机器学习篇
Nina201803/togo-targeting-replication