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基于真实数据集，全程代码实战，使用python库快速处理分析，实战机器学习经典算法。

population (esp. of a group of people)

everyone

使用Python数据分析流行的库Numpy,Pandas,Matplotlib, Scikit-learn结合真实数据集展开可视化特征分析与机器学习建模和评估。每次课程涉及一个完整的案例，基于案例讲解python库的使用以及如何建立机器学习模型，对涉及到的机器学习算法给出通俗易懂的解释，帮助大家掌握经典机器学习算法，并应用在实际的案例中。

Course Catalog

第一章：使用 Pandas 与 Matplotlib 分析科比职业生涯数据 环境配置（数据代码右边符号下载->） 09:05 Pandas数据读取 10:51 Pandas数据预处理 11:02 matplotlib折线图绘制 11:04 matplotlib常用函数 11:15 科比数据集分析 11:08 数据预处理操作 13:32 使用scikit-learn库建模 11:16 （原直播，未剪辑，和上面一致的） 01:42:05 第二章：信用卡欺诈检测第三章：kaggle 案例之泰坦尼克号船员获救预测第四章：基于 tensorflow 的 mnist 数据集预测第五章：kaggle 案例之员工离职预测第六章：鸢尾花数据集主成分分析与基于 NLP 的股票预测

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