# NJUST机器学习课后作业python实现
- ## 聚类
### K-means
- ## 朴素贝叶斯
### I.Multinomial Naïve Bayes
### II.Multi-variate Bernoulli Naïve Bayes
- ## 神经网络
### I.以两门考试成绩数据集进行二分类
![](./res/ThreeLayers_NeuralNetwork_Exam.gif)
### II.以鸢尾花数据集进行三分类
![](./res/ThreeLayers_NeuralNetwork_Iris.gif)
### III.任意规模的神经网络分类器
### 可以任选隐藏层和输出层的规模、激活函数、损失函数、优化器、mini-batch的大小等,内置Exam数据集、Iris数据集和MNIST数据集,并且对于其他文件中的一些细节在此文件中做了优化处理(反向传播算法向量化计算实现的推导见res文件夹),具体文件见repository:implemention-of-neural-network
- ## 感知机
### I.以两门考试成绩数据集进行二分类,Mini_batch梯度下降
### 因为梯度下降会遇到局部极小值点,所以用了Adam算法,因为数据集线性不可分,所以最后不能收敛
![](./res/Perceptron_Mini_batch_Adam.gif)
### II.使用Multiclass感知机以两门考试成绩数据集进行二分类,Mini_batch梯度下降
### 与以上相似
![](./res/Perceptron_Multi_Class_Mini_batch_Adam.gif)
### II.使用Multiclass感知机以鸢尾花数据集进行三分类,Mini_batch梯度下降,使用了Adam算法
![](./res/Perceptron_3Classes_Mini_batch_Adam.gif)
- ## softmax回归
### 用鸢尾花数据集对3种鸢尾花分类
### I.Softmax回归梯度下降可视化结果
![](./res/SoftmaxRegression_GD.gif)
### II.Softmax回归随机梯度下降可视化结果
![](./res/SoftmaxRegression_SGD.gif)
- ## 逻辑回归
### 以两门考试成绩数据集对过和不过的情况进行分类
### I.逻辑回归梯度下降可视化结果
![](./res/LogisticRegression_GD.gif)
### II.逻辑回归随机梯度下降可视化结果
![](./res/LogisticRegression_SGD.gif)
### III.逻辑回归牛顿法优化可视化结果
![](./res/LogisticRegression_NM.gif)
- ## 线性回归
### 以2010-2013年的房价为训练集,预测2014年房价
### I.线性回归最小二乘法优化可视化结果
![](./res/LinearRegression_close_form_Fitting_Line.jpg)
### II.线性回归梯度下降可视化结果
![](./res/Linear_Regression_GradientDescend.gif)
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机器学习课后作业实现.zip
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机器学习是一门多领域交叉学科,涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。它专门研究计算机怎样模拟或实现人类的学习行为,以获取新的知识或技能,重新组织已有的知识结构使之不断改善自身的性能。机器学习是人工智能的核心,是使计算机具有智能的根本途径。 随着统计学的发展,统计学习在机器学习中占据了重要地位,支持向量机(SVM)、决策树和随机森林等算法的提出和发展,使得机器学习能够更好地处理分类、回归和聚类等任务。进入21世纪,深度学习成为机器学习领域的重要突破,采用多层神经网络模型,通过大量数据和强大的计算能力来训练模型,在计算机视觉、自然语言处理和语音识别等领域取得了显著的成果。 机器学习算法在各个领域都有广泛的应用,包括医疗保健、金融、零售和电子商务、智能交通、生产制造等。例如,在医疗领域,机器学习技术可以帮助医生识别医疗影像,辅助诊断疾病,预测病情发展趋势,并为患者提供个性化的治疗方案。在金融领域,机器学习模型可以分析金融数据,识别潜在风险,预测股票市场的走势等。 未来,随着传感器技术和计算能力的提升,机器学习将在自动驾驶、智能家居等领域发挥更大的作用。同时,随着物联网技术的普及,机器学习将助力智能家居设备实现更加智能化和个性化的功能。在工业制造领域,机器学习也将实现广泛应用,如智能制造、工艺优化和质量控制等。 总之,机器学习是一门具有广阔应用前景和深远影响的学科,它将持续推动人工智能技术的发展,为人类社会的进步做出重要贡献。
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