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基于PyOD的异常值检测.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E5%9F%BA%E4%BA%8EPyOD%E7%9A%84%E5%BC%82%E5%B8%B8%E5%80%BC%E6%A3%80%E6%B5%8B.ipynb
基于PyOD的异常值检测.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E5%9F%BA%E4%BA%8EPyOD%E7%9A%84%E5%BC%82%E5%B8%B8%E5%80%BC%E6%A3%80%E6%B5%8B.ipynb
基于内容的服装推荐系统.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E5%9F%BA%E4%BA%8E%E5%86%85%E5%AE%B9%E7%9A%84%E6%9C%8D%E8%A3%85%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F.ipynb
基于内容的服装推荐系统.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E5%9F%BA%E4%BA%8E%E5%86%85%E5%AE%B9%E7%9A%84%E6%9C%8D%E8%A3%85%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F.ipynb
基于隐式偏好的推荐系统.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E5%9F%BA%E4%BA%8E%E9%9A%90%E5%BC%8F%E5%81%8F%E5%A5%BD%E7%9A%84%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F.ipynb
基于隐式偏好的推荐系统.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E5%9F%BA%E4%BA%8E%E9%9A%90%E5%BC%8F%E5%81%8F%E5%A5%BD%E7%9A%84%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F.ipynb
广告点击率预测.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E5%B9%BF%E5%91%8A%E7%82%B9%E5%87%BB%E7%8E%87%E9%A2%84%E6%B5%8B.ipynb
广告点击率预测.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E5%B9%BF%E5%91%8A%E7%82%B9%E5%87%BB%E7%8E%87%E9%A2%84%E6%B5%8B.ipynb
房产销售数据-交互式统计分析.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E6%88%BF%E4%BA%A7%E9%94%80%E5%94%AE%E6%95%B0%E6%8D%AE-%E4%BA%A4%E4%BA%92%E5%BC%8F%E7%BB%9F%E8%AE%A1%E5%88%86%E6%9E%90.ipynb
房产销售数据-交互式统计分析.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E6%88%BF%E4%BA%A7%E9%94%80%E5%94%AE%E6%95%B0%E6%8D%AE-%E4%BA%A4%E4%BA%92%E5%BC%8F%E7%BB%9F%E8%AE%A1%E5%88%86%E6%9E%90.ipynb
文本分类.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E6%96%87%E6%9C%AC%E5%88%86%E7%B1%BB.ipynb
文本分类.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E6%96%87%E6%9C%AC%E5%88%86%E7%B1%BB.ipynb
来自斯坦福的python2入门教程.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E6%9D%A5%E8%87%AA%E6%96%AF%E5%9D%A6%E7%A6%8F%E7%9A%84python2%E5%85%A5%E9%97%A8%E6%95%99%E7%A8%8B.ipynb
来自斯坦福的python2入门教程.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E6%9D%A5%E8%87%AA%E6%96%AF%E5%9D%A6%E7%A6%8F%E7%9A%84python2%E5%85%A5%E9%97%A8%E6%95%99%E7%A8%8B.ipynb
测评.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E6%B5%8B%E8%AF%84.ipynb
测评.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E6%B5%8B%E8%AF%84.ipynb
用户流失预测(VAE).ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E7%94%A8%E6%88%B7%E6%B5%81%E5%A4%B1%E9%A2%84%E6%B5%8B(VAE).ipynb
用户流失预测(VAE).ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E7%94%A8%E6%88%B7%E6%B5%81%E5%A4%B1%E9%A2%84%E6%B5%8B(VAE).ipynb
电影评论数据分类sklearn版.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E7%94%B5%E5%BD%B1%E8%AF%84%E8%AE%BA%E6%95%B0%E6%8D%AE%E5%88%86%E7%B1%BBsklearn%E7%89%88.ipynb
电影评论数据分类sklearn版.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E7%94%B5%E5%BD%B1%E8%AF%84%E8%AE%BA%E6%95%B0%E6%8D%AE%E5%88%86%E7%B1%BBsklearn%E7%89%88.ipynb
电影评论数据多分类.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E7%94%B5%E5%BD%B1%E8%AF%84%E8%AE%BA%E6%95%B0%E6%8D%AE%E5%A4%9A%E5%88%86%E7%B1%BB.ipynb
电影评论数据多分类.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E7%94%B5%E5%BD%B1%E8%AF%84%E8%AE%BA%E6%95%B0%E6%8D%AE%E5%A4%9A%E5%88%86%E7%B1%BB.ipynb
相似问题识别-特征工程+预测模型(XGBoost)+评估.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E7%9B%B8%E4%BC%BC%E9%97%AE%E9%A2%98%E8%AF%86%E5%88%AB-%E7%89%B9%E5%BE%81%E5%B7%A5%E7%A8%8B%2B%E9%A2%84%E6%B5%8B%E6%A8%A1%E5%9E%8B(XGBoost)%2B%E8%AF%84%E4%BC%B0.ipynb
相似问题识别-特征工程+预测模型(XGBoost)+评估.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E7%9B%B8%E4%BC%BC%E9%97%AE%E9%A2%98%E8%AF%86%E5%88%AB-%E7%89%B9%E5%BE%81%E5%B7%A5%E7%A8%8B%2B%E9%A2%84%E6%B5%8B%E6%A8%A1%E5%9E%8B(XGBoost)%2B%E8%AF%84%E4%BC%B0.ipynb
相似问题识别-特征工程.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E7%9B%B8%E4%BC%BC%E9%97%AE%E9%A2%98%E8%AF%86%E5%88%AB-%E7%89%B9%E5%BE%81%E5%B7%A5%E7%A8%8B.ipynb
相似问题识别-特征工程.ipynbhttps://github.com/Lishiyu98/ml-python/blob/master/%E7%9B%B8%E4%BC%BC%E9%97%AE%E9%A2%98%E8%AF%86%E5%88%AB-%E7%89%B9%E5%BE%81%E5%B7%A5%E7%A8%8B.ipynb
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