数据day01
KNN.xmind
KNN分类预测.ipynb
KNN算法.ipynb
adults.txt
film.xlsx
Lipynb_checkpoints


数据day02
作业和数据
课堂代码
笔记.txt


数据day03
线性回归的应用场景.ipynb
笔记.txt
分类模型的特征评估方式之一.ipynb
LinearRegression线性回归与逻辑斯蒂回归.xmind
KNN作业.ipynb
.ipynb_checkpoints


数据day04
Untitled.ipynb
ipynb_checkpoints

数据day05
人脸自动补全.ipynb
梯度下降法原理.pdf
梯度下降求最优解.ipynb
L1和L2对比.ipynb
笔记.txt
LogisticRegression


数据day06
Logisitic回归与KNN对比分析.ipynb
手写数据集分类.ipynb
朴素贝叶斯.pdf
朴素贝叶斯3种模型.ipynb
笔记.txt
逻辑回归基本使用.ipynb
贝叶斯.xmind
LogisticRegression
data


数据day07
预测性别-作业.ipynb
钢铁侠.txt
文本处理.ipynb
笔记.txt
data
结巴分词


数据day08
集成学习.pdf
作业-emai识别.ipynb
stop_words.xls
决策树
email
.ipynb_checkpoints


数据day09
笔记.txt
Bagging思想的决策树.ipynb
K-means


数据day10
特征工程.xmind
特征工程.ipynb
ipynb_checkpoints