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“scikit learn (machine learning library)” 的结果
- 状态:新状态:免费试用
您将获得的技能: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines
- 状态:新
您将获得的技能: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring
- 状态:新状态:预览
您将获得的技能: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
- 状态:新
您将获得的技能: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Applied Machine Learning, Unstructured Data
- 状态:新状态:免费试用
您将获得的技能: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Debugging
- 状态:新状态:免费试用
您将获得的技能: Unsupervised Learning, Predictive Modeling, Supervised Learning, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Scikit Learn (Machine Learning Library), Data Science, Data Processing, Unstructured Data, Algorithms
- 状态:新状态:免费试用
您将获得的技能: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis
- 状态:新状态:免费试用
您将获得的技能: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring
- 状态:免费试用
LearnQuest
您将获得的技能: 机器学习算法, 预测建模, 数据清理, 数据操作, 数据科学, 探索性数据分析, 降维, 机器学习, 分类与回归树 (CART), 随机森林算法, 生物信息学, 数据转换, 应用机器学习, 张力流, Scikit-learn (机器学习库), Keras(神经网络库), 数据处理, Pandas(Python 软件包), NumPy, 功能工程
- 状态:新状态:免费试用
Board Infinity
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Apache Spark, Applied Machine Learning, Decision Tree Learning, Deep Learning, Machine Learning, Fraud detection, Spring Boot, Natural Language Processing, Regression Analysis, Reinforcement Learning, Debugging
- 状态:免费试用
您将获得的技能: Apache Hadoop, 监督学习, 预测建模, 数据转换, 无监督学习, 回归分析, 机器学习, PySpark, 数据管道, 应用机器学习, 摘录, Apache Spark, 数据处理, 功能工程, 生成式人工智能
- 状态:免费试用
University of Michigan
您将获得的技能: 预测建模, Python 程序设计, 无监督学习, 决策树学习, 降维, 机器学习, 回归分析, 监督学习, 随机森林算法, 功能工程, 应用机器学习, Scikit-learn (机器学习库)
总之,以下是 10 最受欢迎的 scikit learn (machine learning library) 课程
- PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
- Learn MLOps for Machine Learning: Pearson
- Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
- Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
- Generative AI for Developers: Unit 2: Pearson
- AI & Predictive Analytics with Python: EDUCBA
- AI with Python: Apply & Implement ML Models: EDUCBA
- Building a Machine Learning Solution: Coursera
- 用于科学研究的人工智能: LearnQuest
- Java in Machine Learning: Board Infinity