datacamp专题
Datacamp 笔记代码 Unsupervised Learning in Python 第三章 Decorrelating your data and dimension reduction
更多原始数据文档和JupyterNotebook Github: https://github.com/JinnyR/Datacamp_DataScienceTrack_Python Datacamp track: Data Scientist with Python - Course 23 (3) Exercise Correlated data in nature You are gi
Datacamp 笔记代码 Unsupervised Learning in Python 第二章 Visualization with hierarchical clustering t-SNE
更多原始数据文档和JupyterNotebook Github: https://github.com/JinnyR/Datacamp_DataScienceTrack_Python Datacamp track: Data Scientist with Python - Course 23 (2) Exercise Hierarchical clustering of the grain
Datacamp 笔记代码 Unsupervised Learning in Python 第一章 Clustering for dataset exploration
更多原始数据文档和JupyterNotebook Github: https://github.com/JinnyR/Datacamp_DataScienceTrack_Python Datacamp track: Data Scientist with Python - Course 23 (1) Exercise Clustering 2D points From the scatte
Datacamp 笔记代码 Machine Learning with the Experts: School Budgets 第三章 Improving your model
更多原始数据文档和JupyterNotebook Github: https://github.com/JinnyR/Datacamp_DataScienceTrack_Python Datacamp track: Data Scientist with Python - Course 22 (3) Exercise Instantiate pipeline In order to mak
Datacamp 笔记代码 Machine Learning with the Experts: School Budgets 第二章 Creating a simple first model
更多原始数据文档和JupyterNotebook Github: https://github.com/JinnyR/Datacamp_DataScienceTrack_Python Datacamp track: Data Scientist with Python - Course 22 (2) Exercise Setting up a train-test split in scik
Datacamp 笔记代码 Supervised Learning with scikit-learn 第四章 Preprocessing and pipelines
更多原始数据文档和JupyterNotebook Github: https://github.com/JinnyR/Datacamp_DataScienceTrack_Python Datacamp track: Data Scientist with Python - Course 21 (4) Exercise Exploring categorical features The G