Susan Li (susanli2016)

susanli2016

Geek Repo

Location:Toronto Canada

Home Page:https://medium.com/@actsusanli

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Susan Li's repositories

Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

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NLP-with-Python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

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Data-Analysis-with-R

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

PySpark-and-MLlib

Getting start with PySpark and MLlib

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SMS-Message-Spam-Detector

A simple Flask API to detect spam or ham using Python and Sklearn

Deep-Learning-with-deeplearning.ai

Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng

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Named-Entity-Extractor

A simple Flask API for named entity extraction using spaCy Model

Natural-Language-Processing-Specialization

Offered by Deeplearning.ai via Coursera

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Data-Analysis-with-Python

Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling

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Natural-Language-Processing-with-Deep-Learning-in-Python-

The repository for the course in Udemy

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Deep-Learning-with-Python

The repository of the book: Deep Learning with Python by Francois Chollet

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Machine-Learning-with-AndrewNg

Programming assignments for Coursera's Machine Learning Course.

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Statistics-with-R-Specialization

Project work for Coursera Statistics with R Specialization offered by Duke University

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TensorFlow-2.0-Keras

TensorFlow 2.0 + Keras guide by François Chollet for deep learning researchers.

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susanli2016.github.io

My data analysis blog, based on Minimal Mistakes theme

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udacity-data-analyst

Project work for the Udacity Data Analyst Nanodegree

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Machine-Learning-with-R

R codes for common Machine Learning Algorithms

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ml-challenge-expenses

Wave ML Engineer challenge

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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Strategic-Business-Analytics-Specialization

Offered by ESSEC Business School via Coursera

Azure-TDSP-Utilities

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

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ThinkBayes

Code repository for Think Bayes.

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