Qimo Li (Kimonokimo)

Kimonokimo

Geek Repo

Company:Brandeis University

Location:United States of America

Home Page:https://www.qimo-li.com

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Qimo Li's repositories

Marketing-Analytics-and-Business-Intelligence

This repository contains my academic marketing and customer data analytics related projects using R and SQL.

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Text-Analyzer-Sentiment-Analysis

Build a text analyzer that can do text analysis and statistics, lexical analysis (using WordNet), NLP(tokenization, tagging, parsing), classification, and sentiment analysis.

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Machine-Learning-Projects

Machine Learning studies at Brandeis University, with my best friends Ran Dou, Tianyi Zhou, Dan Mduduzi, Siyan Lin.

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NLP-comment-project

Toxic Comment Classification Project constructed by Qimo Li, Chen He and Kun Qiu for the course "Introduction to Natural Language Processing in Python" at Brandeis University.

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DS-Take-Home

My solution to the book A Collection of Data Science Take-Home Challenges

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awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

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awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

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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.

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Python-APP-Design

This repository consists of my submissions for the course: Python and Applications to Business Analytics, taught by Professor Ahmad Namini.

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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Girls-In-AI

免费学代码系列:小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

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HackerRank

My solutions to HackerRank problems

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HackerRank_solutions

317 efficient solutions to HackerRank problems

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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.

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

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Operations-Management

Project Group Members: Ran Dou, Zhiyu Guo, Qimo Li

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solutions

Solutions for projects.

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sql-server-samples

Official Microsoft GitHub Repository containing code samples for SQL Server

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TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

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