Pinned Repositories
leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
python-cheatsheet
Comprehensive Python Cheatsheet
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
100-Days-Of-ML-Code-1
100 Days of ML Coding
120-DS-Interview-Questions
My Answer to 120 Data Science Interview Questions
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
AIX360
Interpretability and explainability of data and machine learning models
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
susanqisun's Repositories
susanqisun/case-study
susanqisun/recommender
susanqisun/zaoqi-Python
公众号：早起Python
susanqisun/test
susanqisun/DAV6300
susanqisun/cardiac-arrest-prediction
End to end Machine Learning model for cardiac arrest prediction
susanqisun/Content-based-Recommendation-Engine
susanqisun/climb_recommender
Content based rock climbing route recommender. Link to live website -> https://rockclimbing-recommender.herokuapp.com
susanqisun/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
susanqisun/120-DS-Interview-Questions
My Answer to 120 Data Science Interview Questions
susanqisun/DAV-6150
susanqisun/independent_study
susanqisun/data-science-from-scratch
code for Data Science From Scratch book
susanqisun/Hands-on-Exploratory-Data-Analysis-with-Python
Hands-on Exploratory Data Analysis with Python, published by Packt
susanqisun/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.
susanqisun/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
susanqisun/DS-Career-Resources
Compilation of resources and insights that helped me on my journey to data scientist
susanqisun/python-small-examples
Python有趣的小例子、小Demo一网打尽。Python基础、Web开发、数据科学、机器学习、TensorFlow、Pytorch，一切都是简单易懂的小例子。
susanqisun/deeplearning-models
A collection of various deep learning architectures, models, and tips
susanqisun/ml_pocket_reference
Resources for Machine Learning Pocket Reference
susanqisun/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
susanqisun/learn-regex
Learn regex the easy way
susanqisun/practicalAI
📚 A practical approach to machine learning.
susanqisun/model-analysis
Model analysis tools for TensorFlow
susanqisun/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
susanqisun/fastai
The fastai deep learning library, plus lessons and tutorials
susanqisun/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
susanqisun/AIX360
Interpretability and explainability of data and machine learning models
susanqisun/interpretable_machine_learning_with_python
Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.
susanqisun/leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)