By the end of this course, learners will be able to explain core machine learning concepts, prepare and analyze data using Python libraries, visualize insights effectively, and build and evaluate basic machine learning models using industry-standard tools.
Learn & Build Machine Learning Models with Python
Learn & Build Machine Learning Models with Python
位教师：EDUCBA
访问权限由 New York State Department of Labor 提供
您将学到什么
Explain core machine learning concepts and prepare data using Python libraries.
Visualize and analyze datasets using NumPy, Pandas, and Matplotlib.
Build and evaluate basic machine learning models using Scikit-learn.
您将获得的技能
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作业
16 项作业
授课语言：英语（English）
最近已更新！
January 2026
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本课程是 Apply AI Foundations with Python and AWS 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有4个模块
This module introduces learners to the core concepts of machine learning and establishes a strong foundation in numerical computing using Python. Learners gain an understanding of how machine learning works, its life cycle, and how NumPy is used to create and manipulate numerical data essential for ML workflows.
涵盖的内容
6个视频4个作业
This module focuses on efficient data manipulation using NumPy and introduces Pandas for structured data handling. Learners develop skills in array operations, vectorized computations, and DataFrame-based data exploration, which are critical for data preprocessing in machine learning.
涵盖的内容
6个视频4个作业
This module equips learners with practical data analysis and visualization skills using Pandas and Matplotlib. Learners explore datasets, generate statistical insights, handle missing values, and create meaningful visualizations to communicate data-driven findings effectively.
涵盖的内容
6个视频4个作业
This module introduces practical machine learning implementation using Scikit-learn. Learners focus on data preprocessing, pipeline construction, model evaluation, and linear regression, enabling them to build, evaluate, and interpret machine learning models with confidence.
涵盖的内容
6个视频4个作业
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自 2020开始学习的学生
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