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  • ๐Ÿ‘‹ Hi, Iโ€™m @James-Wukong
  • ๐Ÿ‘€ Iโ€™m interested in computer science, and currently diving myself in Machine Learning.
  • ๐ŸŒฑ Iโ€™m currently learning AI, and I find it literally fascinating.
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on developing AI related projects.
  • ๐Ÿ“ซ [email protected]

james-wukong's Projects

airline-passenger-satisfaction icon airline-passenger-satisfaction

Determining the important factors that influences the customer or passenger satisfaction of an airlines using CRISP-DM methodology in Python and RapidMiner.

data-science-tools icon data-science-tools

Data Science Tools - MySQL, Hadoop, Hive, Hbase, Spark, MongoDB, Cassandra - in Google Colab

gitignore icon gitignore

A collection of useful .gitignore templates

handson-ml3 icon handson-ml3

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.

llm-course icon llm-course

Course with a roadmap and notebooks to get into Large Language Models (LLMs).

neuralnetworksanddeeplearning.com.pdf icon neuralnetworksanddeeplearning.com.pdf

LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) โ€Neural Networks and Deep Learningโ€œ by Michael Nielsen (@mnielsen)

practical-machine-learning-with-python icon practical-machine-learning-with-python

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.

practical-nlp-code icon practical-nlp-code

Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media

reinforcement_learning_in_python icon reinforcement_learning_in_python

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

supervision icon supervision

We write your reusable computer vision tools. ๐Ÿ’œ

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