Susan Li

Machine-Learning-with-Python. Python code for common Machine Learning Algorithms

NLP-with-Python. Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

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

SMS-Message-Spam-Detector. A simple Flask API to detect spam or ham using Python and Sklearn

PyCon-Canada-2019-NLP-Tutorial. Jupyter Notebook

Deep-Learning-with-deeplearning.ai. Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng

Named-Entity-Extractor. A simple Flask API for named entity extraction using spaCy Model

Data-Analysis-with-Python. Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling

Natural-Language-Processing-Specialization. Offered by Deeplearning.ai via Coursera

Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition. Book Projects

Statistics-with-Python. Jupyter Notebook

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

Mathematics-for-Machine-Learning-Specialization. Jupyter Notebook

Natural-Language-Processing-in-TensorFlow. Jupyter Notebook

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

Natural-Language-Processing-with-Deep-Learning-in-Python-. The repository for the course in Udemy

Machine-Learning-with-AndrewNg. Programming assignments for Coursera's Machine Learning Course.

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

Practical-Data-Science-Specialization. Coursera Course

Python-Code. Some Python function/code can be handy from time to time

udacity-data-analyst. Project work for the Udacity Data Analyst Nanodegree

susanli2016.github.io. My data analysis blog, based on Minimal Mistakes theme

Reinforcement-Learning-Specialization. Offered by Coursera

Machine-Learning-with-R. R codes for common Machine Learning Algorithms

dsProject_LogReg_DL. Jupyter Notebook

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

ml-challenge-expenses. Wave ML Engineer challenge

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

ThinkBayes. Code repository for Think Bayes.

github-demo. A simple demo repository to show the basic Git work flow