Welcome to My GitHub Pages

Hello! Welcome to my github pages. In the pages, you can get an overview of all my projects and a summary of what I have learned. And you can view specific content by clicking on the appropriate link.

Content

• Learned knowledge
  • Andrew Ng machining learning
  • ML relative resource
  • Markdown
  • Leetcode
• Project
  • software
    • Titanic
  • hardware
    • Softhand

Learned knowledge

Andrew Ng machine learning

This section mainly introduces my notes on Andrew Ng machining learning course. This note includes 11 weeks of machine learning course content and corresponding homework(The dataset was deleted form the job project). You can jump to a specific page by clicking on this picture.

ML relative resource

The section mainly introduces the machine learning resources that I studied. They are all good materials and have helped me greatly in my studies. You can jump to a specific page by clicking on this picture.

Markdown

This is my note about markdown when I write README. This is a easy resource about markdown, which can help you write a simple markdown example. And write down some tips to make beginners avoid some mistakes. You can jump to a specific page by clicking on this picture.

Leetcode

You can find all my code of leetcode in this section. These codes are finished by using python2 language. You can jump to a specific page by clicking on this picture.

Project

Software

HuaWei 2018 code craft

Titanic

This is a small machine learning project, binary classification problem. By the project, you can learn the whole process of machine learning. The process mainly includes six parts:

1. Data cleaning
2. Feature engineering
3. Basic model and evalution
4. Hyperparameters tuning
5. Predict results

I use SVM model to predict and get 0.80382 scores. You can jump to a specific page by clicking on this picture.

Hardware

Softhand

This is a project in our course design competition.By the project, our group won the first prize.This project uses the 3D printing technology to make the hand body mold, and then uses air actuatio to achieve the body’s bending to grasp the object. And we also use Bluetooth to wirelessly transmit the information of digital recognition to the host computer. The flexible hand control body accepts signals to make corresponding digital gestures. If you want to learn more, you can click on the picture to jump to the corresponding page.