HiAudrey's Projects
All Algorithms implemented in Python
Homework, projects and notes
Implemented predictive models to forecast whether a client will subscribe to a term deposit. Employed Classification algorithms such as Logistic Regression, Decision Trees, Random Forest, and Gradient Boosting. Used Hyperparameter tuning and cross-validation to optimize model performance.
Textbooks (EE)CS majors at Berkeley would find helpful
How to Make Models Perform Better? NOT JUST Basics of K-means and Hierarchical Clustering Methods!
Connexion is a modern Python web framework that makes spec-first and api-first development easy.
Cracking the Data Science Interview
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.
Get Insights from Elon Musk's Tweets!
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
Solutions to coding problems on LeetCode.
Google developers machine learning crack
Simple web application that allows you to run and track a simple, real-time, kaggle-like ML challenge
Mobility Data of King County in US
Code for CS5800 that I teach at Northeastern University.
Examples from Programming Collective Intelligence
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python Data Science Handbook: full text in Jupyter Notebooks
仅供学习使用
Run my Toy Rshiny Web App for Fun!
Shiny Dashboarding framework
Hackthon
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent