Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
ai_nlp_training
Awesome-Chinese-NLP
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
build-your-own-meanshift
How to Build Your Own Meanshift in Python
CFA_bookshelf_scraper
Scrape problems from CFA bookshelf
deeplearning-assignment
Andrew Ng Deep Learning Homeworks and Notes
deeplearning.ai_JupyterNotebooks
DeepLearning.ai Jupyter Notebook
USAID_Forecast_submit
USAID Forecast Contraceptive project
herbsh's Repositories
herbsh/USAID_Forecast_submit
USAID Forecast Contraceptive project
herbsh/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
herbsh/ai_nlp_training
herbsh/Awesome-Chinese-NLP
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
herbsh/build-your-own-meanshift
How to Build Your Own Meanshift in Python
herbsh/CFA_bookshelf_scraper
Scrape problems from CFA bookshelf
herbsh/deeplearning-assignment
Andrew Ng Deep Learning Homeworks and Notes
herbsh/deeplearning.ai_JupyterNotebooks
DeepLearning.ai Jupyter Notebook
herbsh/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
herbsh/herbsh.github.io
For my personal Github page
herbsh/inventorymanagement
Repository to maintain all my clutter
herbsh/ipystata
Enables the use of Stata together with Python via Jupyter (IPython) notebooks.
herbsh/jupyters_and_slides
herbsh/r4ds
R for data science: a book
herbsh/recurrent-neural-networks
Learning about and doing projects with recurrent neural networks
herbsh/scikit-learn
scikit-learn: machine learning in Python
herbsh/stackoverflow
Findings from Stackoverflow 2017
herbsh/text_summurization_abstractive_methods
Multiple implementations for abstractive text summurization , using google colab
herbsh/TimeSeries_Seq2Seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
herbsh/UNCMLday2019
ML Day for UNC April 12, 2019 Workshop