sklearning

学习数据挖掘时，练习了几个分类器有花蕊分类器，预测成年人收入篮球队的胜场广告推荐手写数字识别手写字母识别一个雷达的有效性预测用户满意度预测电影推荐预测

这里所用的的算法和分类器有： Apriori算法 OneRule算法 KNN分类器，决策树，随机森林，交叉验证等 -----这是个人在2018/10月学习数据挖掘练习所用，上传到GitHub作为代码记录

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Data		Data
csvFiles		csvFiles
input		input
model		model
Advertisements_predict.py		Advertisements_predict.py
CAPTCHA_predict.py		CAPTCHA_predict.py
CAPTCHA_prediction_train.py		CAPTCHA_prediction_train.py
Coval-Black.otf		Coval-Black.otf
IRIS_predictor.py		IRIS_predictor.py
Number_predictor_model.py		Number_predictor_model.py
README.md		README.md
basketball.py		basketball.py
ionosphere_analysis.py		ionosphere_analysis.py
iris.py		iris.py
manyidu.py		manyidu.py
matlabplot_test.py		matlabplot_test.py
model_save.py		model_save.py
movies-recommendator.py		movies-recommendator.py
note		note
numpy——test.py		numpy——test.py
predictor_income.py		predictor_income.py
tags_recommendator.py		tags_recommendator.py
test.py		test.py
twitter_analysis.py		twitter_analysis.py

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