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Jessie chen's Projects

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

atap icon atap

Code for Applied Text Analysis with Python

awesome icon awesome

😎 Awesome lists about all kinds of interesting topics

aws-101 icon aws-101

An intro to AWS delivered to friends of ARGO

bag-of-words icon bag-of-words

Python Implementation of Bag of Words for Image Recognition using OpenCV and sklearn

cnn-re-tf icon cnn-re-tf

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

cogcomp-nlp icon cogcomp-nlp

CogComp's Natural Language Processing libraries and Demos:

corpus-to-graph-ml icon corpus-to-graph-ml

This repository contains machine learning related work for the corpus to graph project, including Jupyter research notebooks and a Flask webservice to host the model

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep_srl icon deep_srl

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

employee-turnover-prediction icon employee-turnover-prediction

The employee turnover rate prediction ML model is a statistical tool that uses machine learning algorithms to forecast the likelihood of an employee leaving a company within a specific timeframe. This model is designed to analyze various factors that contribute to employee attrition, including job satisfaction, compensation, work-life balance, and

employee-turnover-prediction-full icon employee-turnover-prediction-full

A case study/project in prescriptive analytics to understand why employees leave a company and applying various machine learning models to predict the next leaver

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