Skip to content
View WanghuiCathy's full-sized avatar

Block or report WanghuiCathy

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. 01_Python_Introduction 01_Python_Introduction Public

    Forked from milaan9/01_Python_Introduction

    Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.

    Jupyter Notebook 1

  2. 02_Python_Datatypes 02_Python_Datatypes Public

    Forked from milaan9/02_Python_Datatypes

    Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different t…

    Jupyter Notebook 1

  3. 07_Python_Advanced_Topics 07_Python_Advanced_Topics Public

    Forked from milaan9/07_Python_Advanced_Topics

    You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.

    Jupyter Notebook 1

  4. 91_Python_Mini_Projects 91_Python_Mini_Projects Public

    Forked from milaan9/91_Python_Mini_Projects

    Jupyter Notebook 1

  5. 92_Python_Games 92_Python_Games Public

    Forked from milaan9/92_Python_Games

    This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.

    Jupyter Notebook 1

  6. Python_Decision_Tree_and_Random_Forest Python_Decision_Tree_and_Random_Forest Public

    Forked from milaan9/Python_Decision_Tree_and_Random_Forest

    I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps h…

    Jupyter Notebook 1