AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

My solution to the book <A collection of Data Science Take-home Challenges>

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

Data Science Resources (Mostly Free)

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

Machine Learning with Coursera

Statistical data visualization in Python

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Coursera Machine Learning - Python code

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

关于Python的面试题

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,…

Minimal and clean examples of machine learning algorithms implementations

An Personal Note for DS/ML interview questions

Data Science Resources (Mostly Free)

My Answer to 120 Data Science Interview Questions

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

🏡 Open source home automation that puts local control and privacy first.

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

Algorithm and Data Structure. leetcode/lintcode excercise

Collection of scripts corresponding to LucidProgramming YouTube tutorials

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

Notes and Python scripts for A/B or Split Testing

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

吴恩达老师的机器学习课程个人笔记

Leetcode in python