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Machine-Learning

Editor: Weihong, Lin Latest modify: Sat Feb 17 9:08AM

Introduction

Here are some projects related to machine learning. It help me get started with machine learning.I hope it may help!

Name: Weihong, Lin

College: SYSU

Email: 675176683@qq.com

blog: linwh8

Project 1: Linear Regression

In statistics, linear regression is a linear approach for modelling the relationship between a scalar dependent variable y and one or more explanatory variables (or independent variables) denoted X. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. --- wiki

Project 2: Logistic Regression

In statistics, logistic regression, or logit regression, or logit model[1] is a regression model where the dependent variable (DV) is categorical. This article covers the case of a binary dependent variable—that is, where the output can take only two values, "0" and "1", which represent outcomes such as pass/fail, win/lose, alive/dead or healthy/sick. --- wiki

Project 3: Multi-class Classification and Neural Networks

In machine learning, multiclass or multinomial classification is the problem of classifying instances into one of three or more classes.  --- wiki Neural network, or artificial neural network, is a computing system inspired by the biological neural networks that constitute animal brains. --- wiki

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These are some projects related to Machine Learning ~

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