机器学习 Python 课程
Python 机器学习课程可以帮助您学习数据操作、算法实现、模型评估和 Feature Selection。您可以掌握数据 Visualization、超参数调整和理解 Neural Network 的技能。许多课程都会介绍 TensorFlow、Scikit-learn 和 Pandas 等工具，这些工具支持将您的技能应用到实际项目中，使您能够创建预测模型并有效分析复杂的数据集。
机器学习 Python 热门课程和认证
您将获得的技能: Object Oriented Programming (OOP), Matplotlib, Data Visualization, Seaborn, NumPy, Python Programming, Scatter Plots, Pandas (Python Package), Data Analysis, Box Plots, JSON, File Management, Debugging, Data Manipulation
您将获得的技能: Object Oriented Programming (OOP), Python Programming, Data Structures, Scripting, Web Development, Full-Stack Web Development, Automation, Programming Principles, Business Process Automation, Data Manipulation, File Management, Back-End Web Development, Application Deployment, Debugging, Development Environment
University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
您将获得的技能: Model Evaluation, Unsupervised Learning, Dimensionality Reduction, Data Preprocessing, Python Programming, Recurrent Neural Networks (RNNs), Reinforcement Learning
您将获得的技能: Plotly, Pandas (Python Package), Interactive Data Visualization, Data Analysis, Data Visualization Software, Restful API, Application Programming Interface (API), Python Programming, Data Manipulation, Data Transformation, Data Preprocessing, Data Structures, Text Mining
您将获得的技能: AI Workflows, Artificial Intelligence
您将获得的技能: Pandas (Python Package), NumPy, Data Manipulation, Data Preprocessing, Package and Software Management, Data Analysis, Data Transformation, Data Integration, JSON, Object Oriented Programming (OOP), Data Wrangling, Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Mathematical Software, Computational Logic, Data Structures
您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms
EDHEC Business School
您将获得的技能: 数据可视化软件, 投资组合风险, 网络分析, 投资, 机器学习方法, 非结构化数据, 机器学习, 文本挖掘, 投资管理, 投资回报, 应用机器学习, 资产管理, 投资组合管理, 预测建模, 社交网络分析, 网络抓取, 财务报表, 财务建模, 风险管理, 金融市场
您将获得的技能: Python 编程, 关系数据库, 数据分析, 存储过程, 数据库, 事务处理, 查询语言, 数据操作, Jupyter, Pandas（Python 软件包）
状态：AI 趋势University of Washington
您将获得的技能: 模型评估, 分类算法, 机器学习, 数据预处理, 贝叶斯统计, 无监督学习, 深度学习, 人工智能, 计算机视觉, 统计机器学习, 预测建模, 决策树学习, 回归分析, 功能工程, 统计建模, 图像分析, 应用机器学习, 数据挖掘, 逻辑回归, 监督学习
您将获得的技能: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
总之，以下是 10 最受欢迎的 python for machine learning 课程
- Python Programming And Libraries for Data Science: Packt
- Apply Python Programming for Data & Automation Projects: EDUCBA
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- Machine Learning Foundations: Packt
- Advanced Python Techniques for Data Science & AI: Packt
- Apply Artificial Intelligence Using Python for Beginners: EDUCBA
- Google Data Analysis with Python: Google
- The Nuts and Bolts of Machine Learning: Google
- 使用 Python 和机器学习进行投资管理: EDHEC Business School
- 使用 Python 进行数据科学的数据库和 SQL: IBM
