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Machine Learning Fundamentals with Python Learning Path

Machine Learning Fundamentals with Python 是由 DataCamp 设计的技能路径。它由五个课程组成有 20 小时的学习内容 .

描述

该资源使用的语言为英文

Machine learning is changing the world and if you want to be a part of the ML revolution, this is a great place to start! In this track, you’ll learn the fundamental concepts in Machine Learning.

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职业轨迹的免费学习路径

包含的课程

DataCamp

1. Supervised Learning with scikit-learn

George Boorman

4 小时

$300

218385

DataCamp

2. Unsupervised Learning in Python

Benjamin Wilson

4 小时

$300

74152

Python Scipy scikit-learn Cluster Analysis Data Analysis Data Modeling Data Sets Data Visualization

DataCamp

3. Linear Classifiers in Python

Mike Gelbart

4 小时

$300

27092

Python scikit-learn Classification Data Modeling Functions Regression

DataCamp

4. Case Study: School Budgeting with Machine Learning in Python

Peter Bull

4 小时

$300

44825

Python scikit-learn Data Modeling Data Sets Machine Learning Natural Language Processing

DataCamp

5. Introduction to Deep Learning in Python

Dan Becker

4 小时

初学者

$300

187458

Keras Python Classification Data Modeling Deep Learning Neural Networks Optimization