You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
aolingwen
07f0574513
|
5 years ago | |
---|---|---|
_book | 5 years ago | |
img | 5 years ago | |
node_modules | 5 years ago | |
pingpong | 5 years ago | |
titanic | 5 years ago | |
AGNES.md | 5 years ago | |
README.md | 5 years ago | |
SUMMARY.md | 5 years ago | |
algorithm.md | 5 years ago | |
book.json | 5 years ago | |
classification_metrics.md | 5 years ago | |
cluster_metrics.md | 5 years ago | |
decision_tree.md | 5 years ago | |
kMeans.md | 5 years ago | |
kNN.md | 5 years ago | |
linear_regression.md | 5 years ago | |
logistic_regression.md | 5 years ago | |
machine_learning.md | 5 years ago | |
metrics.md | 5 years ago | |
random_forest.md | 5 years ago | |
recommand.md | 5 years ago | |
regression_metrics.md | 5 years ago | |
sklearn.md | 5 years ago |
README.md
本资料主要介绍一些机器学习的入门知识,例如什么是机器学习,常见的机器学习算法原理,常用的模型性能评估指标,怎样快速入门 sklearn 等内容。
若想更加全面,系统的学习机器学习相关知识,可以在本书的最后扫码体验整套机器学习实训课程。该课程是与南京大学合作共建的实训课程,总共有 65 个实践任务,涵盖了《机器学习》中的前十章内容,并已在南京大学投入使用。