第二屆 機器學習百日馬拉松

吴恩达机器学习示例代码

This is some course projects I did for class

Data sets on prognosis and health management（PHM相关数据集）

推箱子解决方案 sokoban AI solver

This repository is the 4th solution for competition Herbarium 2020 - FGVC7 https://www.kaggle.com/c/herbarium-2020-fgvc7/overview

Machine learning using AWS sagemaker Python development

Real-Time-Conversational-AI-Bot Based on Bengali Language

AI knowledge System（人工智能知识体系）.

机器学习相关算法总结

This repository has assignment solutions for LetsUpgrade AI-ML course

The application uses a machine learning model to determine if a hotel review is positive or negative. The application hosts a web interface where the user can pass a review to the trained model to be analyzed.

Decision tree 决策树

Predicting heart disease in a patient using machine learning.

Text-Detection-Using-Python

Research on schizophrenia

Machine learning course studying notes

天猫店铺数据（包括电器和食品两个行业）的机器学习应用

This is a Machine Learning based project, where house prices are predicted based on 81 features given in the dataset. I used two regression techniques to compare which regression technique gives better results.